Having the right solution at the right time can mean the difference between tabling thoughts or transforming industries. Ansys technologies put the power of innovation in your hands.
Join us for a free, virtual, global simulation event that is designed to inspire, equip and empower you to innovate.
Simulation is transforming mobility to address unprecedented challenges and deliver cost-effective, competitively differentiated solutions, from safer, more sustainable designs to the complex electronics and embedded software that define them.
The aerospace and defense industries must operate on the cutting edge to deliver advanced capabilities. Digital engineering helps them increase flexibility, update legacy programs, and speed new technology into service.
Industries rely on simulation to streamline production and distribution of safer, cleaner, more reliable energy through fuel-to-power conversions, and to accelerate scaling of low-carbon energy solutions.
Safer medical treatments require more testing and clinical trials, making traditional approaches less affordable. Simulation-driven in silico methods are reducing market costs and facilitating breakthrough innovation, without compromising patient safety.
Integrated electronics and semiconductors, 3D-ICs, embedded software, wired and wireless connectivity, embedded electromechanical subsystems and advanced sensors and displays: simulation helps contextualize them all within an entire system, from chip to mission.
Having the flexibility and open ecosystem needed to simulate modern, complex products and systems at scale requires the latest advancements in hyperscale and cloud computing.
AI-augmented simulation technology is a real game-changer, bringing unprecedented speed, innovation, and accessibility to engineering. It's not just about accelerating simulation, it's about making it simple, natural, and accessible.
Digital engineering sorts through complexity to reduce time, cost, and risk, increasing accuracy and performance with physics rigor to deliver a design infrastructure and open ecosystem along a two-way digital thread.
Electromagnetic simulation enables the successful modeling, analysis and design of many high- and low-frequency electronics, including computing platforms, generators and transformers, communications systems and satellites, and advanced driver-assistance systems.
Simulation solves complex structural engineering challenges quickly and efficiently through finite element analysis, customized and automated solutions for structural mechanics, and multiple design scenario analysis to ensure greater product integrity.
By gaining insights into the forces that affect fluid flow using CFD analysis, companies can make critical design decisions that significantly reduce energy consumption and improve product performance.
Optics-specific tools and workflows help optical designers innovate across an entire industry to expedite groundbreaking product development and improve performance, reliability, and yield — from the nano to the micro scale.
Increasing the speed and efficiency of semiconductor manufacturing requires comprehensive multiphysics EM/IR, thermal, and electromagnetic simulation to support 3D-IC design, bespoke silicon, and intelligent connectivity.
FEATURED SPEAKERS
Dr. Ajei Gopal
President and Chief Executive Officer, Ansys
Ajei Gopal's idea to drive "pervasive simulation," or the use of engineering simulation throughout the product life cycle, has transformed the industry. Prior to Ansys, he served in various leadership roles where he demonstrated his ability to simultaneously drive organizational growth and improve operational efficiency.
Dr. Prith Banerjee
Chief Technology Officer, Ansys
Prith Banerjee leads the evolution of Ansys technology and champions the company's next phase of innovation and growth. During his 35-year technology career — from academia, to initiating startups, to managing innovation in enterprise environments— he has actively observed, and promoted how organizations can realize open innovation success.
Walt Hearn
Senior Vice President, Worldwide Sales and Customer Excellence, Ansys
As an innovative business leader and simulation expert at Ansys, Walt Hearn leads high-performing teams to develop and execute sales strategy, technical excellence, and mentorship across the organization. He prides himself on ensuring customer success and helping organizations achieve top engineering initiatives to change the future of digital transformation.
AGENDA
Agenda subject to change. Check back closer to event dates for more updates.
From the Racetrack to the Board Room: Winning with Simulation
Ajei Gopal
President & CEO
From the Racetrack to the Board Room: Winning with Simulation
10:00 AM - 10:20 AM EDT
Smart organizations understand that failure simply isn’t an option when it comes to their products. They know that their product is ultimately their brand. That’s why they rely on the power of simulation to design, develop, and deliver next-generation products that defy imagination. From the largest brands on the planet, to the mid-market, to some of the most innovative startups, companies are breaking down barriers that have stood for decades or longer by harnessing simulation as their secret weapon. And we have only scratched the surface of what is possible – thanks to simulation.
Ajei Gopal's idea to drive "pervasive simulation," or the use of engineering simulation throughout the product life cycle, has transformed the industry. Prior to Ansys, he served in various leadership roles where he demonstrated his ability to simultaneously drive organizational growth and improve operational efficiency.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Simulation: The Engine of Innovation – Driving Quantifiable Transformation
Walt Hearn
SVP, Worldwide Sales and Customer Excellence
Simulation: The Engine of Innovation – Driving Quantifiable Transformation
10:20 AM - 10:40 AM EDT
As we stand on the precipice of the Fifth Industrial Revolution, characterized by unprecedented connectivity and the convergence of physical, digital, and biological domains, simulation emerges as the cornerstone of transformative progress. This keynote explores the pivotal role of simulation in propelling us into this new era of innovation and growth. By harnessing advanced computational models and cutting-edge technologies, simulation not only revolutionizes traditional manufacturing processes but also serves as a catalyst for exponential advancements in digital engineering and fuels your AI. Through virtual prototyping, predictive analytics, and advanced simulations, companies can optimize product development lifecycles, anticipate market demands, and deliver tailor-made solutions that exceed expectations. From conceptualization to deployment, simulation enables agile, cost-effective, and sustainable approaches to digital engineering leveraging inputs to train and accelerate AI. Join us as we delve into the transformative power of simulation in driving the Fifth industrial revolution, illuminating the path towards sustainable growth, enhanced efficiency, and quantifiable savings across multiple aspects of operations.
As an innovative business leader and simulation expert at Ansys, Walt Hearn leads high-performing teams to develop and execute sales strategy, technical excellence, and mentorship across the organization. He prides himself on ensuring customer success and helping organizations achieve top engineering initiatives to change the future of digital transformation.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
Accelerating EV Battery Development for Safety and Performance through Simulation
Xiao Hu
Sr. Principal Engineer
Accelerating EV Battery Development for Safety and Performance through Simulation
10:40 AM - 11:00 AM EDT
In this presentation, we will focus on EV battery thermal runaway propagation simulation. In such a simulation, we model the heat generation due to exothermal reactions during thermal runaway and the subsequent heat transfer of the heat to the cooling system. The exothermal reaction models are calibrated from the accelerating rate calorimetry (ARC) data of a battery cell. The heat transfer is modelled using conjugate heat transfer models in computational fluid dynamics (CFD). Modelling of venting and vented gas reaction is also discussed. Several validated examples will be shown in this presentation including module/pack runaway propagation and the associated venting and vented gas reaction.
Xiao Hu
Sr. Principal Engineer
Xiao is currently a Sr. principal engineer at Ansys. Xiao has spent 23 years of his career at ANSYS, Inc. For the last ten years, he has been focusing on EV/HEV battery simulations including battery electrical modeling, battery thermal management simulation, and battery electrochemistry modeling. Xiao has a Ph.D. degree in mechanical engineering from Purdue University.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
The Air Force Test Center Digital Modernization Strategy: Digital-First Initiatives to Ensure Warfighter Trust in Systems
John Grigaliunas
Technical Advisor
The Air Force Test Center Digital Modernization Strategy: Digital-First Initiatives to Ensure Warfighter Trust in Systems
10:40 AM - 11:00 AM EDT
Digital Materiel Management requires the Test & Evaluation community to shift its mindset from providing data that supports decision making at discrete intervals to a mindset of providing a knowledge base as an input to refine the authoritative source of truth; which validates, updates, and refines the digital twin in a continuous evaluation process throughout the life cycle of a system, even before metal is bent.
But digital acquisition is about more than just building better systems; it’s about building systems better and allowing the acquisition community to design faster, enable seamless assembly, test more efficiently and effectively, and provide easier upgrades to maintain our competitive edge. But how will we decide when a model becomes so realistic that we accept it as a complete substitute for reality? The answer: when real-world data anchors the model; otherwise, it’s nothing but a fancy video game. And that real-world data comes from test, whether conducted on a supercomputer, in a pristine laboratory, or on a complex open air range.
In this presentation, I'll share the digital first initiatives the Air Force Test Center has made to marry digital and physical systems, the digital engineering principles applied to developing, delivering, and sustaining test capabilities, and the infrastructure investments made to enable data management.
John Grigaliunas
Technical Advisor
Mr. John M. Grigaliunas, a senior-level executive, is the Technical Advisor for Flight Test and Evaluation, Air Force Test Center, Edwards Air Force Base, California. He is the senior technical advisor to the AFTC Commander regarding health and suitability of airframe, avionics/cyber, installed propulsion, and electronic warfare flight and supporting ground test capability across AFTC’s test ranges and facilities valued at more than $31 billion, including 116 aircraft and 164 ground test facilities.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
Wireless Channel Modeling for Dynamic Terrestrial Environments
Shawn Carpenter
Program Director, 5G & Space
Nate McBee
Senior Manager Product Management
Wireless Channel Modeling for Dynamic Terrestrial Environments
11:00 AM - 11:20 AM EDT
As wireless systems become complex and reach for more spectrum, RF engineers must rely on high-fidelity simulation solutions to model and test their proposed new networks effectively. We offer tools to address these challenges and enable network architects and mission planners to digitally model and simulate dynamic wireless networks within an accurate systems simulation environment. Leveraging solutions for electromagnetic wave propagation, electronically steered antenna design tools, and a digital mission simulation, engineers can rapidly deploy models and execute them within a high-fidelity, physics-accurate digital testing environment. Engineers will understand the impacts of terrain, urban landscapes, and the dynamic kinematic motions across any number of simulated scenarios needed to test anticipated wireless network performance against design requirements thoroughly. Ansys is combining these industry-leading modeling and simulation tools to provide a workflow-driven solution to these unique needs and challenges. Join us to learn more about the new Ansys RF Channel Modeler and how it can help you and your organization leverage digital modeling and simulation tools like never before.
Shawn Carpenter received his BEE degree in electrical engineering from the University of Minnesota Institute of Technology in 1988, and an MSEE in Electrical Engineering from Syracuse University in 1991 concurrently with the General Electric Thomas Edison Advanced Course in Engineering program. He has served as a Senior Microwave Engineer in Module Design and Array Technology for the GE Aerospace Electronics Laboratory (Syracuse, NY), VP Sales and Marketing for Sonnet Software, Inc., and Director, Sales & Marketing for Delcross Technologies. Shawn joined Ansys Inc. during the 2015 acquisition of Delcross Technologies and is currently a Program Director for 5G and Space applications. His current interests include phased array modeling techniques for MIMO and adaptive beamforming, installed antenna-host interactions, mm-wave radar sensor modeling and wireless physical channel modeling for electrically large environments. He is also an active amateur radio (ham) operator with callsign N2JET, embracing a hobby he adopted at age 11.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
Cell Therapy Can Cure Cancer. Bring It To Life.
Gerald Kreindl
Chief Technology Officer
Cell Therapy Can Cure Cancer. Bring It To Life.
11:00 AM - 11:20 AM EDT
Sarcura is an Austrian start-up company developing a high-tech platform, utilizing leading-edge semiconductor technologies and photonics integrated in microfluidic cartridges. The goal is to enable cell therapy companies to scale manufacturing capacity 100x, reduce costs by 10x while bringing bioprocess control to cellular level. We believe that only by bringing together autonomy, integration (of additional functionality), miniaturization, and modularity we can achieve the 100-fold increase in manufacturing capacity the cell therapy industry requires. This presentation will demonstrate how Ansys will helps Sarcura to reduce cost and dramatically increase cycle-of-learning. This is especially true in the design and optimization of realistic engineering components, sub-systems and geometries mainly related to next generation Semiconductors, Micro-Electro-Mechanical Systems and Microfluidics. Furthermore, Ansys helps to better understand, parametrize and predict component and sub-system level understanding which ultimately leads to a faster time to market.
Gerald Kreindl
Chief Technology Officer
Gerald Kreindl is a seasoned industry expert, leading research and development efforts, spanning basic research and technology development through late-stage development in the semiconductor and life-science sector. Gerald earned a degree in Chemical Industrial Engineering from the Technical College in Wels, Austria in 2001 and a Master of Business Administration for Biotechnology and Pharmaceutical Management from the Danube Business School in 2019. He holds more than 20 (pending and issued) patents and has written several publications in journals.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
Developing High Efficiency EV Powertrains
James Goss
Principal Product Manager
Developing High Efficiency EV Powertrains
11:00 AM - 11:20 AM EDT
Ansys ConceptEV is new innovative cloud-based design & simulation platform for the design of EV powertrains. It enables engineers to collaborate on a shared system simulation connected to requirements from the start of the design process. ConceptEV provides a model-based approach to optimizing the powertrain system & components with rapid evaluation of different powertrain configurations & component design choices using innovative simulation techniques. This presentation introduces a revolutionary new tool from Ansys that will allow you to optimize your powertrains and your teams.
James Goss
Principal Product Manager
James is a Principal Product Manager at Ansys and the former CEO of Motor Design Ltd. He has worked throughout his career on the development of design and simulation tools for electric machines and holds a Doctorate in the design of electric machine from the University of Bristol.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
High-Performance Design with Rapid RTL Profiling of Critical Power Scenarios
Alexander Pivovarov
Senior Member of Technical Staff
High-Performance Design with Rapid RTL Profiling of Critical Power Scenarios
11:00 AM - 11:20 AM EDT
High current events (di/dt) in the SoC are the result of the sudden high current demand caused by a large number of simultaneous switching activities from the workload. Unless appropriate mitigation strategies are in place, these di/dt events can cause significant voltage drops in the power grid. From an analysis of RTL level switching activity profiles of representative workloads and their dynamic power profiles, the critical windows where adverse di/dt events might occur can be revealed. Consequently, RTL stage solutions for better Power & Performance can be implemented in a timely manner, during the design phase.
Alexander Pivovarov
Senior Member of Technical Staff
With over 10 years of experience in the semi-conductor industry, Alexander has had significant exposure to design verification and power convergence, both at IP level and at SoC. He has worked on analyzing and driving power optimization across numerous projects and has developed novel methodologies for getting more accurate results.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
Digital Engineering for Wastewater Sustainability: CFD for Water and Wastewater Engineering
Rodrigo de Oliveira Marques
Water and Wastewater Engineer
Digital Engineering for Wastewater Sustainability: CFD for Water and Wastewater Engineering
11:00 AM - 11:20 AM EDT
Worley is driven by a common purpose: delivering a more sustainable world. Our ambition translates our purpose into what we do operationally, and digital transformation plays a central role in transitioning from ambition to reality. Computational fluid dynamics (CFD) simulation for water and wastewater engineering is an asset with remarkable potential to assist Worley’s clients in delivering a more sustainable world. In this context, Ansys and Worley partnered up to bring CFD simulations into the water and wastewater field, with several possible applications even during initial project stages.
Senior process engineer (M.Sc. and PhD) specialized in treatment process modelling and design. Has practical experience with municipal clients (water and wastewater treatment plants) and various types of industries, such as: ammunition, battery, beverage, chemical, cosmetic, metallurgical, and steel
The automotive industry is undergoing significant transformations driven by the weight reduction in Body in White structures and the shift towards Electric Vehicles (EVs). This necessitates a transformation from conventional design paradigms towards lightweight, multi-material solutions. Correspondingly, process simulations must evolve to accommodate novel manufacturing methods, demanding precise material descriptions, increasing accuracy, efficient multiphysics integration, and novel joining methods. Production process simulation aids in both manufacturing process development and part design, while also providing essential inputs for subsequent performance simulations such as crash safety analysis. Consequently, as the performance standards for cars escalate, so do the demands on manufacturing simulations. This presentation discusses the automotive industry's pressing need for advanced production process simulations, illustrating various application challenges and accompanying solutions within a virtual process environment. By addressing these challenges, the automotive sector can navigate the complexities of modern design and manufacturing, ensuring efficient and effective production processes in the era of lightweighting and electric mobility.
Dr Mikael Schill PhD in Solid Mechanics from Linköping University in Sweden 25 Years experience with working with LS-DYNA. Since 2023: Team leader for the Production Process Team at Dynamore (an ANSYS Company)
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
Digital Innovation in Design
Jeppe Funk Kirkegaard
Head of TE Digital Innovation
Digital Innovation in Design
11:20 AM - 11:40 AM EDT
Digital Innovation at Siemens Gamesa Renewable Energy supports the business through the pursuit of authoritative models in design using an advanced reduced order model paradigm and with mass consumption of field data using digital threads.
Jeppe Funk Kirkegaard
Head of TE Digital Innovation
Mr. Jeppe Funk Kirkegaard received a Master’s degree in Mechanical Engineering from Aalborg University in 2006, a Bachelor’s degree in Business Administration from VIA University in 2017 and is a certified Senior Project Manager (PMI). He has been with Siemens Wind Power since 2011, first as project manager in the Blades Technology Module and in 2015 moving to engineering management positions starting with responsibility for project and technology management in the blade area before he took the position as head of the Blades Structural Design department in 2018. He has recently been responsible for scoping of new offshore turbines and is currently Head of Digitalization for R&D focusing on how to support design processes and the internal tool stack with technologies like digital twins, surrogate modelling and xR.
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
In-Silico Modelling of Tumor Prognosis: Towards the Digital Twin
María Angeles Perez Anson
Professor
In-Silico Modelling of Tumor Prognosis: Towards the Digital Twin
11:20 AM - 11:40 AM EDT
The complexity of cancer arises from the intricate interplay of diverse biological interactions together with a significant genomic heterogeneity.
In-silico research has an enormous potential in contributing to deliver personalised diagnosis, prognosis and treatment for cancer.
By harnessing this potential, we can pioneer the development of a digital twin of cancer, enabling customized and precise healthcare interventions tailored to individuals battling the disease.
We present here a methodology for the creation of patient-specific tumour models, which incorporates the following initial patient-specific conditions: tumour geometry, cell density and tumour vasculature, all of which are obtained from clinical Magnetic Resonance Imaging (MRI) data.
The methodology has been numerically implemented using Ansys and it is here applied to two neuroblastoma (paediatric cancer) cases with different prognosis, who received similar chemotherapy treatment.
The in-silico model showcases its capacity by effectively predicting the degree of tumour shrinkage resulting from chemotherapy, highlighting its inherent potential.
María Angeles Perez Anson
Professor
María Angeles Pérez is a Professor at the School of Engineering and Architecture at University of Zaragoza (Spain) and researcher at Engineering Research Institute of Aragon (I3A). She obtained her PhD in Computational mechanics (2004), afterwards she was a postdoctoral fellow at the Trinity College Dublin (Ireland) and at the Ecole de technologie supérieure Montreal (Canada). She is a member of the European Society of Biomechanics since 2007. Her present research and collaborations mainly focuses on computational biomechanics and mechanobiology, design of prostheses and implants and experimental and computational tissue engineering. She is an author of more than 50 publications in peer- reviewed journals, and more than 150 contributions to International and National Conferences. She has been part of the Council of the European Society of Biomechanics (ESB) during 8 years (2012-2020), being President of the ESB (2018-2020). She is the principal investigator of the research group Multiscale in Mechanical and Biological Engineering (University of Zaragoza) and of many research projects. She has been also the Director of the MSC in Biomedical Engineering at the University of Zaragoza and actively took part of the PhD program in Biomedical Engineering.
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
Digital Engineering for Navy Systems: Digital Thread to improve Life Cycle Support
Manuel Martínez
Director of Engineering and Shipbuilding
Digital Engineering for Navy Systems: Digital Thread to improve Life Cycle Support
11:20 AM - 11:40 AM EDT
To be successful in the acquisition of complex systems such as warships, a very rigorous process should be followed.
As stated by the “European Defense Agency”, effective military capabilities can take decades to research, develop, procure, integrate and field, but new threats can emerge with little warning.
So, the problem for defense stakeholders is to “think in advance” and to “understand the future” in terms of critical technologies and new threats. This is a challenge not only for the warship industry but also for the defense ecosystem. Therefore it is critical to “accelerate” the acquisition process, and consequently digital engineering proves to be a key tool to assist navies and Defense Industry to do so.
Just to understand the complexity, a modern warship operates in 5 domains simultaneously: air, underwater, surface, space, and “bottom sea” in a highly integrated way.
• Air: predictable and under “Maxwell Equations” for RF signals.
• Underwater: unpredictable and difficult to detect and track. Limited communications & need of AI/ML for underwater signal intelligence.
• Surface: intersection of previous domains; challenging scenarios with full of clutter and “environmental noise” that might limit sensor performance. Emerging threats based on low cost UXVs.
• Space: based on MTMD requirements, satellite communications, precise navigation and timing,…
• Bottom Sea: surveillance and protection of strategic assets, materials (e.g. minerals) and infrastructure (e.g. underwater cables).
These points highlight the huge challenges ahead for warships system design and shipbuilding. Some relevant examples include but are not limited to: increased sensor sensitivity; consideration of the ship as a cloud (computing capability and data center); integration of extra wide-band secure communications; development and integration of highly sophisticated direct energy weapons; electromagnetic complexity and antenna topside characterization and design; new energy management and efficient electric systems (new systems are “power hungry”); signature optimization and system of systems concept and operational impact.
What does digitalization mean for defense systems?:
• User domain:
o Model Based System Engineering (MBSE) to help the user to better characterize and define requirements and system specifications.
o Modelling and virtual reality to achieve “smart logistics” (Model Based Product Support, MBPS).
• Industry domain:
o Modelling to ensure system design.
o Simulation to develop a virtual ecosystem based on the digital twin of the real system.
Currently, Spanish Armada and industry are developing a digital ecosystem for current and future navy programs. The challenge is to accommodate “system engineering” and “digital engineering” in a seamless way to ensure the development of a “digital thread” to be used for both industry and Armada during the life cycle of a warship.
To address MBSE and simulation in the system engineering context, there is a new “V Chart” developed by Navantia called “Diamond Chart” that states the so called “digital thread” in warship acquisition programs. This approach requires industry and Armada to work together during the life cycle of the acquisition program. Digital interoperability is a must.
The process starts by establishing the “need” by the user, the Navy. Then, the typical system engineering “V chart” in the physical domain is followed, but including a “specular twin” in the virtual domain. The top-down thread (specification-design-implementation) is driven by a bottom-up modelling that points down to each system engineering milestone. This means that no design decision is made in the physical system until the corresponding model has been assessed in the virtual domain.
Once the physical system is built, the bottom-up testing thread drives a top-down simulation assessment from virtual production to virtual qualification and finally virtual certification.
This means that at the end of the production phase, the real system and a digital twin come together and this is the starting point for the life cycle support, including predictive maintenance and smart logistics in one side (the Navy) and product improvement that drives field optimization in the industry side.
We can take the current F-110 Program as an example of how Armada and Navantia (as technical design authority) worked together to develop user requirements and system specifications using modeling and simulation toolboxes, such as ANSYS.
Road to SDR. For the definition phase, Armada placed a contract with Navantia which played the role of “design authority” for Navy ships, to develop the ship definition that finally resulted in a complete set of ship system specifications.
Digital engineering, modelling and simulation were widely used in areas such as:
• Electromagnetic modelling
• Forced Vibration Analysis for the ship to comply with the most advanced “comfort” “system environmental” requirements.
• Hull optimization based on CFDs and hull design validation in hydrodynamic channels.
• Modelling and simulation to support design decisions to comply with the signature requirements established by the NSR.
• Digital Twin development in critical systems to support predictive maintenance and to help developers to improve their product during life cycle.
In summary, physical and virtual integration is only possible having the appropriate digital infrastructure that helps navies and industries to develop a robust digital thread. This is critical to have an affordable life cycle support for complex systems and this is why ANSYS is so important as enabler to navies /MODs and industry.
Manuel Martínez
Director of Engineering and Shipbuilding
Vice Admiral (VADM) Manuel Antonio Martinez Ruiz is a retired admiral, serving previously as Director of Engineering and Naval Shipbuilding in the Spanish Navy Logistics Command. He was graduated in the Naval Academy in 1983 as line officer, spending several in warships. In 1995 he joined the Spanish Navy Engineering Branch once completed the corresponding studies at the Royal Observatory of the Navy and at the ETSIT (Telecommunications Technical School at the Polytechnic University Madrid). In 2003 he became PhD in Telecommunications Engineering after completing the doctorate at the “Carlos III University of Madrid (UC3M)”. As a Navy Engineer officer, he was appointed to the Navy Research & Development Center (CIDA), participating in some of the most relevant projects in the Spanish MOD (EW, TDLs, C2, etc…). He was representing Spain (DGAM) in international NATO R&D programs as well. In 2002, he passed the Joint General Staff Course “EMFAS” (2002- 2003) at the “CESEDEN” Center in Madrid, and afterwards he was assigned a position in the Logistics Division of the Navy Staff, Navy Programs Section. In 2005, he was appointed to SPAWAR (International Office of the MIDS Program, Logistics Division), in San Diego, CA (USA), as Spanish representative until 2009, with responsibilities in platform systems integration and in contract negotiation with US and European defense companies. In 2009, he was moved again to the frigate F-100/F-105 Program Office, being named Head of Program in 2011 and Director for the Operational Qualification Tests (CSSQT) for the Frigate F-105 "Cristobal Colon", in the USA. In 2014, he was appointed by the MOD Secretary of State, as the new Frigate F-110 Program Manager, in the Directorate General of Armament and Material (DGAM), Subdirectorate for Programs Management. On March 3, 2018, he was promoted to Rear Admiral and he was appointed as Deputy of Engineering in the Spanish Navy. On September 28, 2018, he was promoted to Vice Admiral and he was appointed as Director of Engineering and Naval Constructions on October 3. VADM Martinez Ruiz is a frequent lecturer in Universities invited by the Spanish Institute for Strategic Studies and CESEDEN, such as the Polytechnic University of Madrid, the Complutense University of Madrid, UC3M, the University of La Rioja, the University of Valladolid, the Jean Monnet Center of Excellence, Camilo Jose Cela University, etc. He has been an associate professor at the Universidad Carlos III, and is a tenured professor of the Master in Logistics and Economic Management for the Defense at the Complutense University of Madrid (UCM) and Professor of the International Master of Military Naval Engineering at the Naval Engineering School (ETSIN-UPM). He was given an excellence award by the UCM. He has also given conferences and seminars on naval programs, BMD (Ballistic Missile Defense) capabilities and logistic support integrated in multiple specialized forums, both in Europe and in South America and the US. He has passed several engineering courses in NATO and in the USA. He has also completed the Program Management, High Logistics Management Courses and National Defense Course for General Officers at CESEDEN. He has extensive international experience in Program Management, Defense Technology, System Engineering and Integrated Logistic Support topics.. He has represented the DGAM in industrial conferences in International Programs in Canada, Saudi Arabia, Colombia, US etc... VA Manuel Martinez Ruiz was retired august 05, 2023. He is still involved in Conferences and Seminars as keynote speaker and defense acquisition expert. He is Senior Advisor for Mckinsey in Aerospace and Defence.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
Ammonia – a renewable fuel for zero emission mobility
Young Suk Jo
Chief Technology Officer
Ammonia – a renewable fuel for zero emission mobility
11:40 AM - 12:00 PM EDT
While global energy transition is underway in various forms of decarbonization, there is little solution available for heavy industry & heavy-duty transportation. Amogy offers ammonia-based, emission-free, high-energy-density power solutions to decarbonize transportation for a sustainable future, accelerating the global journey towards Net Zero 2050. To date, Amogy’s scalable ammonia-powered, zero-emissions energy system has been demonstrated with success in a 5 kW drone, a 100 kW heavy-duty tractor, and a 300 kW Class 8 semi-truck. Amogy is currently retrofitting a tugboat to demonstrate the world’s first ammonia-powered vessel in summer of 2024. In this talk, Amogy's vision of decarbonization as well as technology focusing on catalyst, reactor, and system layout will be discussed.
Young Suk Jo
Chief Technology Officer
Young is the founding CTO of Amogy, leading development of ammonia-based energy storage solution for decarbonization of heavy-duty transportation and stationary power generation. Amogy demonstrated the world-first ammonia-powered mobilities, including drone, tractor and a class 8 semi-truck. Young’s previous work covers R&D on various hydrogen storage materials, such as ammonia, methanol, formic acid, and LOHC, and development of a compact energy conversion solutions based on them. Young received his mechanical engineering PhD at MIT in 2016, with the focus on energy conversion devices.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
In Silico Regulatory Evidence for the Digital Era
Alejandro Frangi
Bicentennial Turing Chair in Computational Medicine
In Silico Regulatory Evidence for the Digital Era
11:40 AM - 12:00 PM EDT
Novel medical technologies are being introduced at unprecedented rates, demanding scientific evidence of their safety and efficacy at an unprecedented pace to ensure patient safety and benefit. With success in both in-vitro/in-vivo studies, products are tested on clinical trials assessing use in humans. Predicting low-frequency side effects has been difficult because such side effects may not become apparent until many patients adopt the treatment. When medical devices fail at later stages, financial losses can be catastrophic. Testing on many people is costly, lengthy, and sometimes implausible (e.g., paediatric patients, rare diseases, and underrepresented or hard-to-reach ethnic groups).
Computational Medicine underpins In-silico trials (IST), i.e., computer-based trials of medical products performed on populations of digital twins (aka virtual patients). Computer models/simulations are used to conceive, develop, and assess devices with the intended clinical outcome explicitly optimised from the outset (a-priori) instead of tested on humans (a-posteriori). This will include testing for potential risks to patients (side effects) and exhaustively exploring medical device failure modes before being tested in human clinical trials. In-silico evidence is still consolidating but is poised to transform how health and life sciences R&D and regulations are conducted. UK can take a leadership position in in-silico trials, which would cement its position as a global leader in health and life sciences, help drive the UK economy and provide UK citizens with early access to innovative health products.
In this talk, I will introduce the attendees to this world of new possibilities and summarise progress made in this new paradigm among academia, industry, regulators, and policymakers. A recent landscape report would be a helpful companion to this talk: Frangi, AF, et al. Unlocking the Power of Computational Modelling and Simulation Across the Product Lifecycle in Life Sciences: A UK Landscape Report. InSilicoUK Pro-Innovation Regulations Network, 2023, doi:10.5281/zenodo.8325274.
Alejandro Frangi
Bicentennial Turing Chair in Computational Medicine
Professor Alejandro F Frangi FREng is the Bicentennial Turing Chair in Computational Medicine at the University of Manchester, Man-chester, UK, with joint appointments at the Computer Science and Health Sciences Schools. He is Director of the Christabel Pankhurst Institute on health technologies research and in-novation. He is also the Royal Academy of Engineering Chair in Emerging Technologies, with a focus on Precision Computational Medicine for in silico trials of medical devices. He is an Alan Turing Institute Fellow. He also leads the InSilicoUK Pro-Innovation Regulations Network. Professor Frangi's primary research interests lie at the crossroads of medical image analysis the Director of the Christabel Pankhurst Institute on health technologies research and inmodelling, emphasising machine learning (phenomenological models) and computational physiology (mechanistic models). He is particularly interested in statistical methods applied to population imaging and in silico clinical trials. His highly interdisciplinary work has been translated into cardiovascular, musculoskeletal and neurosciences.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
A Multiphysics Simulation Flow for High Performance MMIC Products for 5G and RF Application
Vittorio Cuoco
Senior Principal Modeling Engineer - Multiphysics Domain
A Multiphysics Simulation Flow for High Performance MMIC Products for 5G and RF Application
11:40 AM - 12:00 PM EDT
Pressure on cost and performance of MMIC products for 5G and RF applications requires EM-based optimization of designs to gain competitive advantage. Moreover, the need to reduce size requires packing many components in a limited space, leading to increased temperatures. To make sure that such temperatures and the related mechanical stress levels remain under reliability limits, Multiphysics simulations are needed at system level, including chip, package, board and cooling blocks. To tackle this challenge, Ampleon engineers use Ansys tools. In more detail, Raptor X is used to simulate full MMIC designs on low-resistivity substrates, which are especially challenging to model due to the slow-wave propagation. Ansoft 3D layout is used to import the layout into Electronic Desktop (AEDT) where it is combined with board, package, and cooling blocks for system level Multiphysics simulations in AEDT/Mechanical. At this stage, engineers are not only able to optimize system designs to make sure that temperature and stress levels remain under safe limits, but also to explore different cooling options. Having EM and Multiphysics tools under the same roof with a simple interface improves efficiency, boost productivity, and enables cutting-edge designs of high-performance products and allows Ampleon to save costs gaining market competitiveness.
Vittorio Cuoco
Senior Principal Modeling Engineer - Multiphysics Domain
Dr. Vittorio Cuoco is Senior Principal Engineer at Ampleon, where he is responsible for Multiphysics simulations. Before, he was Principal Modeling Engineer at NXP and at Philips Semiconductors. He earned a Ph.D. at the Delft Technical University. He is (co)author of more than 20 conference papers and 15 patents.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
Accurate Multiscale Electromagnetics System Simulation: From Chip to Vehicles
Juliano Mologni
Lead Electronics Product Manager
Accurate Multiscale Electromagnetics System Simulation: From Chip to Vehicles
11:40 AM - 12:00 PM EDT
The automotive industry is undergoing a transformation from analog to fully digital architecture. The number of ECUs (Electronics control unit) and the electronics density is increasing more than ever due to ADAS (Advanced driver-assistance system), which includes high-speed communication and radar. Simulation plays a crucial role in order to safely design all the systems and sub-systems and ensure that safety and EMC (Electromagnetic compatibility) standards are met. Historically, simulating an entire system was not practical due to numerical challenges such as meshing the full model, computational resources and the workflow to create full automotive assemblies since vendor are not willing to provide 3D models due to intellectual property. This approach, however, compromises accuracy, and simulating the entire system is necessary especially now that we have newer technologies such as 5G and Automotive Ethernet. In this presentation a complete workflow is presented, showing how to assemble entire detailed systems such as chip-package-PCB (Print circuit board) in vehicles and use technologies such as Ansys HFSS Mesh Fusion and encrypted 3D components from tier-1 suppliers to solve the systems without compromising accuracy or violating intellectual property.
Juliano Mologni is a Lead Electronics Product Manager at Ansys. Over 20 years of experience in computational electromagnetics, author of patents and more than 60 journal and conference papers. Previous experience includes Lead Application Engineer at ESSS, Systems Engineer at Delphi Automotive and hardware engineer at WebTech Wireless.
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Addressing Antenna Deployment Challenges and Unlocking Opportunities with Simulation
Laila Salman
Principal Technical Specialist
Addressing Antenna Deployment Challenges and Unlocking Opportunities with Simulation
12:00 PM - 12:20 PM EDT
In the era of connected vehicles, connecting information via high-speed wireless network infrastructure so data can be analyzed and shared could very well drive the future of autonomous vehicles and improve road safety and efficiency. Several factors must be considered to reach high levels of autonomy, including advanced sensor technology, precise determinization of vehicle location, up-to-date mapping information, local perception of other vehicles and pedestrians, and planning and decision making. Many conversations need to happen between an autonomous vehicle (AV) and other elements within a self-driving ecosystem, enabled by vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-network (V2N), vehicle-to-people (V2P), and vehicle-to-everything (V2X) smart technologies to ensure safety. All these smart technologies rely on consistent low latency connectivity to expand perception beyond what is directly in front of the vehicle. This is especially true in dense 5G-and-beyond telecommunication environments of the future, where a lot of information can be exchanged. The advent of autonomous vehicles will drive the need for multiple sensors, spanning microwave and millimeter wave radar, as well as visible and infra-red spectra. ADAS and Autonomous vehicle systems are likely to require at least 6 radar systems to monitor traffic and to perform safety functions to ensure the safety of the passengers. These safety systems will be effective and efficient, giving autonomous and human-drive vehicles instantaneous reflexes to react to sudden and unanticipated dangers and to take evasive action. In addition, radar sensors are likely to have a significantly higher degree of functionality, with ability to image the road scene, detect and track objects and obstructions, and to locate safe paths through unfolding hazards. In addition, these radars will be able to monitor road conditions—even locating and reporting potholes and debris on the road. While hardware testing is valuable during the sensor design stage, simulation becomes even more valuable when validating and testing radar sensor performance in the real world. Specifically, radar engineers need to be sure that the radar sensors will accurately sense the environment and provide consistent information to the vehicle’s perception algorithms. Failure to do this can severely compromise the safety of fully autonomous vehicles. Ansys has developed an efficient simulation workflow to model complex radar scenarios in real time using an electromagnetic simulation technique based on the shooting and bouncing rays (SBR) method. This solver is based on the same SBR solver found within Ansys HFSS and has been graphics processing (GPU)-unit accelerated to perform simulation in real time. Simulation will be a key enabler in optimizing these new, connected experiences, not only for autonomy, but also for any critical vehicle subsystem like battery management systems. Simulation is one of the strongest tools in collecting synthetic data. In addition to its ability to virtually replicate and test countless conditions, simulation can generate large quantities of synthetic data that cover a wide range of scenarios, including instances that are rare, difficult, or dangerous to observe in the real world. This can help improve the performance and generalizability of AI/ML-based radar perception models by informing the data with more specific and unique circumstances.
Dr. Laila Salman received the B.S. and M.S. degrees in electronics and communication engineering from Cairo University, Giza, Egypt, in 2003 and 2005, respectively, and the PhD. Degree in electromagnetics and antenna design from the University of Mississippi, MS, USA in 2009. She also worked as a post-doctoral student at the Université de Quebec en Outaouais, Gatineau, QC, Canada till 2010. Her research was on dielectric resonator antennas, wearable antennas, microwave and millimeter-wave circuits and systems, microwave imaging for early detection of breast cancer and scattering from left-handed metamaterials. Dr. Salman joined Ansys Canada Ltd. In August 2010 as a Principal Technical Services Specialist for High Frequency Electromagnetics. Her current expertise is mainly in high frequency RF microwave applications, antenna design, 5G & millimeter wave applications, Automotive Radar, and IoT Applications
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Novamera’s Surgical Mining Technologies- a new way to mine smarter, faster, and more sustainably
Theresa Quick
VP Marketing
Parinaz Naseri
Senior Antenna & Hardware Design Engineer
Novamera’s Surgical Mining Technologies- a new way to mine smarter, faster, and more sustainably
12:00 PM - 12:20 PM EDT
To support the move towards electrification, the world needs a significant volume of critical metals and minerals-quickly. It’s estimated that we are currently facing a 14.6B tonne supply gap for just one generation of technology to phase out fossil fuels. Novamera has developed a suite of surgical mining technologies to access and extract minerals while minimizing environmental and social impact. The transformative method can unlock over $6T in smaller narrow vein deposits that have previously been uneconomic or inaccessible to mine using traditional underground or open-pit mining methods. Requiring only a small footprint, modular and mobile, the entire solution integrates with conventional drilling equipment to precisely identify, navigate and extract high-value deposits (of all kinds)- producing ~95% less waste, and ~44% GHG Emissions, at a fraction of the cost of conventional mining.
An essential part of the ability to do Surgical Mining is the proprietary Guidance Tool that identified the orebody in real-time. The innovative tool generates 4900% sub-service data than conventional cross-cutting holes. Novamera uses the simulation tools provided by Ansys to develop and anticipate various environmental factors the tool will encounter in extreme and remote mining locations.
Theresa Quick
VP Marketing
Theresa has over 15 years' experience in the marketing and product development. Before joining Novamera and entering the mining industry, Theresa specialized in supporting emerging technologies find product/market fits and effective go-to-market strategies. Theresa holds a Bachelor of Business Administration from the Schulich School of Business, a Publicity and PR/ Certificate at Rotman from the University of Toronto, Marketing Analytics Certificate from Berkeley and most recently a professional certificate in Sustainable Mining from the University of Queensland.
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Using Predictive Engineering to power full-lifecycle Product Development
Eric Corndorf
VP R&D Advanced Surgical Technologies
Using Predictive Engineering to power full-lifecycle Product Development
12:00 PM - 12:20 PM EDT
Predictive engineering is an investment that can be difficult to justify early in a development program, but is rarely regretted late in a development program. In this talk we will step through both a) the compelling role that Predictive Engineering can play in all lifecycle phases of a development program, and b) the unique role that every member of an engineering/management team can play in sponsoring Predictive Engineering.
Eric Corndorf
VP R&D Advanced Surgical Technologies
Eric Corndorf is the VP of R&D for Advanced Surgical Technologies at Medtronic, Plc. In his 18-year career at Medtronic Eric has focused on product development and served many therapy spaces including cardiac rhythm, heart failure, neuroscience, robotics, and surgery. Eric holds a PhD in electrical engineering from Northwestern University and a BSEE from the University of Michigan. Eric sits on the board of directors of the Science Mill – a not-for-profit science museum in Texas that serves underrepresented communities. Eric lives in Minneapolis with his two kids and remarkably talented wife.
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Enabling personalized care with digital twins
Jan Hertwig
CEO
Enabling personalized care with digital twins
12:00 PM - 12:20 PM EDT
Personalized medicine is poised to transform patient outcomes by moving away from a one-size-fits-all approach to treatment and toward customized medical solutions. Especially in the area of medical devices there are limited options for choice and adoption to unique patients needs. At the heart of this shift is the use of digital twins, virtual models that reflect the unique physiological characteristics of individual patients. This innovative approach allows healthcare providers to simulate and evaluate different treatment scenarios, optimizing patient-specific strategies prior to intervention. Simq is at the forefront of this revolution, using advanced biomechanical simulation and in silico technologies to create accurate patient-specific digital twins. Their platform, powered by pyAnsys, seamlessly integrates with the healthcare industry's existing frameworks and daily workflows, facilitating the widespread adoption of personalized medicine. By democratizing access to simulation technologies, Simq empowers medical professionals to design and implement personalized care plans for each patient with greater precision and efficiency. The adoption of digital twins in healthcare marks a significant paradigm shift toward more informed, individualized, and effective medical treatments, setting a new standard for patient care and medical innovation.
As a dedicated advocate for computational modeling in medicine, I aim to enhance product safety and medical therapies through computer simulations. As a representative of DIN and ISO, I champion the use of simulation in patient-specific implants and medical device approval processes.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
The Role of Modeling & Simulation in Philips
Ger Janssen
Principal Data & AI Scientist, Head of Data Management, Computational Modeling & Responsible AI
The Role of Modeling & Simulation in Philips
12:20 PM - 12:40 PM EDT
Philips is a leading HealthTech company providing solutions in the Professional Healthcare and Personal Health area, with a very diverse portfolio of solutions. As a consequence, a broad range of (coupled) physics domains needs to be covered in the development processes. In Philips we use computational modeling & simulation in our Virtual Design & Test activities to accelerate product development, while at the same time achieve improved designs for optimal performance and reliability. Various real-life examples are explained. Apart from product development, computational modeling also plays a role in the digital twin area, for operational and clinical applications. The concept of digital twin is explained, with examples of digital twin in the operational and clinical spaces. Finally, hybrid modeling, which is the combination of computational modeling with AI and which is crucial for the future, is being discussed and shown.
Ger Janssen
Principal Data & AI Scientist, Head of Data Management, Computational Modeling & Responsible AI
Ger Janssen has a PhD in Applied Physics from Eindhoven University of Technology in the Netherlands. He joined Philips in 2001 in the computational modeling domain, and later started to focus also on AI and hybrid intelligence, combining AI with computational modeling. He was head of the AI, Data Science & Digital Twin department in Philips Research and currently Principal Scientist Data & AI and lead of Data Management, Computational Modeling and Responsible AI supporting Philips businesses in bringing new innovative solutions to the market.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
Wireless Channel Modeling for Dynamic Terrestrial Environments
Shawn Carpenter
Program Director, 5G & Space
Nate McBee
Senior Manager Product Management
Wireless Channel Modeling for Dynamic Terrestrial Environments
12:20 PM - 12:40 PM EDT
As wireless systems become complex and reach for more spectrum, RF engineers must rely on high-fidelity simulation solutions to model and test their proposed new networks effectively. We offer tools to address these challenges and enable network architects and mission planners to digitally model and simulate dynamic wireless networks within an accurate systems simulation environment. Leveraging solutions for electromagnetic wave propagation, electronically steered antenna design tools, and a digital mission simulation, engineers can rapidly deploy models and execute them within a high-fidelity, physics-accurate digital testing environment. Engineers will understand the impacts of terrain, urban landscapes, and the dynamic kinematic motions across any number of simulated scenarios needed to test anticipated wireless network performance against design requirements thoroughly. Ansys is combining these industry-leading modeling and simulation tools to provide a workflow-driven solution to these unique needs and challenges. Join us to learn more about the new Ansys RF Channel Modeler and how it can help you and your organization leverage digital modeling and simulation tools like never before.
Shawn Carpenter received his BEE degree in electrical engineering from the University of Minnesota Institute of Technology in 1988, and an MSEE in Electrical Engineering from Syracuse University in 1991 concurrently with the General Electric Thomas Edison Advanced Course in Engineering program. He has served as a Senior Microwave Engineer in Module Design and Array Technology for the GE Aerospace Electronics Laboratory (Syracuse, NY), VP Sales and Marketing for Sonnet Software, Inc., and Director, Sales & Marketing for Delcross Technologies. Shawn joined Ansys Inc. during the 2015 acquisition of Delcross Technologies and is currently a Program Director for 5G and Space applications. His current interests include phased array modeling techniques for MIMO and adaptive beamforming, installed antenna-host interactions, mm-wave radar sensor modeling and wireless physical channel modeling for electrically large environments. He is also an active amateur radio (ham) operator with callsign N2JET, embracing a hobby he adopted at age 11.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
ARPA-E History, Mission, Digital Technology and Vision for the Future
Christian Vandervort, PhD, PE
Technology-to-Market Advisor
ARPA-E History, Mission, Digital Technology and Vision for the Future
12:20 PM - 12:40 PM EDT
DOE ARPA-E’s enabling legislation was included in the 2007 America COMPETES Act. In 2009 ARPA-E received its first appropriations of $400 million. The team was charged with ensuring the U.S, maintains a technical lead in developing and deploying advanced energy technologies. ARPA-E’s mandate includes five core energy-related pillars:
1) reduce imports,
2) improve efficiency,
3) reduce emissions,
4) improving the management, clean-up and disposal of radioactive waste and spent nuclear fuel, and
5) improve the resilience, reliability, and security of energy infrastructure.
ARPA-E is or has funded programs across the entire spectrum of energy and climate science. Typical ARPA-E programs are approximately 4 years with average, total budgets of $40-50M. Technology initiatives are defined and developed by our ARPA-E Program Directors. A program will fund 12 – 16 performer teams chosen through the standard, competitive federal funding proposal process. Successful projects are eligible to propose for next-stage funding under the ARPA-E SCALEUP program. In parallel, our performer teams are encouraged to pursue follow-on funding from the investor community and other governmental agencies. There is potential for DOE Office of Clean Energy Demonstrations (OCED) and Loan Programs Office (LPO). ARPA-E recognizes the value of digital engineering. We routinely require engineering analysis and physics-based modeling as compliments to experimental discovery for our projects. Insight provided by the modeling is vitally important to understanding results and defining next steps.
We encourage continued investment and advancement of digital technology to address key topics for infrastructure construction and development. Next generation digital engineering tools are necessary to improve our nation’s infrastructure with applications including electrical grid expansion, new pipelines for carbon dioxide
Christian Vandervort, PhD, PE
Technology-to-Market Advisor
Dr. Christian Vandervort is as a Technology-to-Market Advisor at the Advanced Research Projects Agency – Energy (ARPA-E). He champions commercialization of technologies in the fields of carbon capture and sequestration, high temperature alloys and coatings, fuel cells, nuclear fission, and gas turbines. Prior to joining ARPA-E, Chris served with General Electric for 29 years with roles at GE Power and GE Global Research Center (GRC). At GE Power, he was Product Manager for the 9HA.02 Gas Turbine and Combined Cycle Power Plant. In this role, he focused on product development, introduction, manufacturing, and sales. The system was successfully introduced with multiple, major power generation projects spanning six countries across two continents. Chris rejoined GE Power & Water in 2013 following 10 years at GE’s Global Research (GEGR) Center. As Technology Leader - Combustion Systems, his team performed Research and Development in support of key initiatives across multiple businesses in the transportation, power, and aviation sectors. Prior to his move to GRC, Chris held leadership positions in several design engineering departments, including Hydro, Steam Turbine, Generator, and Gas Turbine Combustion Engineering. Chris completed Nuclear Plant Engineer qualification with the Knolls Atomic Power Laboratory nuclear plant operations program. He participated in operations and training at a Naval Nuclear Submarine Prototype. Chris received his Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute, M.S. in Nuclear Engineering, and B.S. in Nuclear Engineering & Mathematics at the University of Wisconsin-Madison. Chris has been awarded 38 patents, authored numerous technical publications, and delivered multiple technical presentations.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
The tool certification process of Ansys RedHawk-SC Electrothermal: another successful collaboration with Ansys
Ki Wook Jung
Staff Engineer
The tool certification process of Ansys RedHawk-SC Electrothermal: another successful collaboration with Ansys
12:20 PM - 12:40 PM EDT
Many global leading semiconductor companies are developing heterogeneous 2.5D/3D IC multi-die systems and the Samsung Electronics is one of them. A range of 2.5D packaging options (I-Cube and H-cube) as well as 3D vertical stacking with X-cube technology have been introduced by Samsung since 2020. However, the dense integration of multiple chips creates a major challenge in heat dissipation. For the better thermal management solutions for these systems, accurate prediction of thermal behavior is a must to SoC designers. Therefore, Samsung has been collaborating with Ansys to certify RedHawk-SC Electrothermal to accurately predict thermal performance of the multi-die systems. The predictive accuracy of RedHawk-SC Electrothermal has been validated with Ansys' Icepak solution for thermal analysis of electronic assemblies - Including forced-air cooling and heat sinks. Less than 10% discrepancy rate between two thermal simulation tools has been recognized in steady-state as well as transient thermal simulation results. The next step will be validating the prediction accuracy of RedHawk SC Electrothermal with a set of experimental data from a 3D IC test vehicle.
Ki Wook Jung
Staff Engineer
Dr. Ki Wook Jung graduated in 2020 with his Ph.D. in Mechanical Engineering at Stanford. He has a strong background in MEMS fabrication techniques, and embedded cooling solutions for high-power density electronics. He is currently working on developing thermal-aware design methodology for 2.5D/3D IC multi-die systems at Samsung Foundry Business.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
Digital Engineering for NASA Science Missions
David Richardson
Astrophysics Line of Business Manager
Digital Engineering for NASA Science Missions
12:20 PM - 12:40 PM EDT
NASA has a competitive process for robotic science missions, that has clearly defined deliverables that describe the mission concept. One artifact required in the proposal process is a Science Traceability Matrix (STM) – a snapshot of the Science Mission Goals, traced to Mission and Payload Operations capability and requirements. Using modern Systems Engineering Tools, the Science Mission System Architecture can be captured in a robust system model, that links system structure, behaviors and requirements.
This approach enables a more informed approach to System Architecture Development and Analysis. This discussion highlights Mission Requirements Traceability from Science Need to Engineering Description.
It demonstrates that a properly constructed Mission System Model captures the complexities of the Mission System Architecture, and illustrates that the STM is a relevant system architecture artifact that describes the underlying connectivity of the mission and payload architecture.
David Richardson
Astrophysics Line of Business Manager
Dave Richardson is currently serving as the Astrophysics Line of Business Manager for the Goddard Space Flight Center. Much of his academic career focused on modeling and simulation – with a focus on Energy Systems and their optimization. After receiving mechanical engineering degrees from the University of Rhode Island, Marquette University and the University of Maryland at College Part, Dave joined GSFC in 2006. Dave started his career at GSFC in the Facilities Management Division, performing roles for project planning, project design and construction, and program management. Dave learned a broader view of the Agency as an analyst in the Space Technology Mission Directorate, in 2012, where he contributed to the NASA Strategic Plan and captured the strategic alignment of the STMD technology development portfolio within the context of the Agency's overall strategy. In 2016, while in the Instrument and Payload Systems Engineering Branch, Dave began to focus on improvements to the Engineering Process through digital means and methods, specifically Model Based Systems Engineering. This focus, applied to science missions prepared him for his current role, where early lifecycle development of Astrophysics Mission Concept is working to establish a proper ‘digital footing’ for a science investigation from the beginning.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
SigmaDVD: the solution to the transient coverage problem
Chip Stratakos
Partner, Silicon Design
SigmaDVD: the solution to the transient coverage problem
12:40 PM - 01:00 PM EDT
Technology scaling tends to increase power density and metal impedance, making it increasingly difficult to confidently sign off power integrity while meeting PPA and schedule requirements. Ensuring high confidence power integrity in large state of the art designs requires new approaches to traditional static and dynamic IR drop analyses. This presentation introduces a methodology that leverages the revolutionary SigmaDVD technology to enable IR prevention (shift left), power noise analysis with excellent coverage, and efficient design closure with optimized PPA.
Chip Stratakos
Partner, Silicon Design
Chip leads the Physical Design team for the AI custom silicon products at Microsoft. He started his career at Intel and also worked at Broadcom and Google. He holds a BSEE from Stanford.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Developing Better Space Payloads for Hyperspectral Missions
David Miller
Mechanical Design Lead
Developing Better Space Payloads for Hyperspectral Missions
12:40 PM - 01:00 PM EDT
Canadian space data company Wyvern was created to provide hyperspectral data that will enable a sustainable future for humanity. Unlike regular RGB cameras, hyperspectral cameras capture and disperse light into many, many narrow spectral bands. Plants, minerals, and objects on the surface of the earth have spectral signatures that hyperspectral cameras can detect. Previously only accessible to big-budget organizations, Wyvern is bringing low-cost, high-quality, hyperspectral imagery to industries that could not access it at scale. On the path to this, Wyvern uses a suite of Ansys products to design its payloads and plan its missions. Structural, Thermal, and Optical Performance (STOP) analysis is at the core of Wyvern’s deployable optics technology development. Wyvern uses STOP to evaluate the performance of its missions and payloads in optical performance metrics, which is all made possible by the interconnectivity of Ansys products.
David Miller
Mechanical Design Lead
David holds a Master's degree in Mechanical Engineering from the University of Alberta. He has 7 years of experience in design and innovation. At Wyvern, he is developing key technologies for deployable optics in Wyvern’s hyperspectral earth observation constellation.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
In Silico technologies is paving the way innovation is introduced in the healthcare markets
Martha De Cunha Maluf-Burgman
Director Regulatory Affairs - Digital Health
In Silico technologies is paving the way innovation is introduced in the healthcare markets
12:40 PM - 01:00 PM EDT
In Silico technologies is paving the way innovation is introduced in the healthcare markets.
Medtech companies are relying their innovative developments on the outcomes of computational simulations. Still credibility for performance and effectiveness is needed to be addressed first at high level, and later at R&D scopes.
How to go to the market with digital (in silico) evidence? What is needed to show credibility? How to address the ethical considerations and much more questions to be answered.
Martha De Cunha Maluf-Burgman
Director Regulatory Affairs - Digital Health
Mechanical Engineer with B. Political Sciences, MBAs in International Relations and Marketing Management (SUNY-USAL), and post-grade in (Tele) Communications Regulations. Brings over 28 years of experience in Telecommunications and Radio Spectrum Regulations, International, Institutional and Governmental affairs, Satellite regulations, and advocacy on Radiocommunications and wireless technologies, Telemedicine, eHealth, Artificial Intelligence, Interoperability and Cybersecurity, and In Silico technologies. With vast experience in ETSI (including SIG Securing AI), Bluetooth SIG, IEEE PHD Cybersecurity WG, AAMI, ENISA, etc. On top of official job, she is also innovator and inventor. In previous job at Medtronic, formed and led a CoE of Radio Frequency Certification serving many business units and led the EMEA Digital Health Policy WG, was member of the R&D Council’s (AI WG) and the Telecommunications Council and was Advisor of the CISO and Product Security WG. I also collaborated with Core Technologies in the advocacy efforts on In Silico technologies via Avicenna Alliance. Since 2019 until end-2021 I has co-chaired MedTech Europe (MTE) Digital Health Committee actively participating in the AI, Data and Interoperability working groups, and since March 2021 has chaired its Cybersecurity WG, which has brought MTE members to learn and share information about cybersecurity regulatory challenges, standards, and good practices. In my role as Chair of CWG, I also have represented MTE in the European Commission’s Task Force for the drafting of the MDCG 2019-16 Guidance on Cybersecurity for Medical Devices and represented MTE in ENISA’s eHealth Security Experts Group. Joined Edwards Lifesciences in January 2022 as Director Regulatory Affairs Manager for EMEACLA, serving as strategic advisor, with focus on its Critical Care business unit, and also advising THV, TMTT, Advance Technologies, the Computer Modelling & Simulation Team, and the Corporate Data Management organisation. Liaises with R&D, CISO & InfoSec on specific on cybersecurity regulations and standards and is member of the Corporate Regulatory Intelligence Council and the PAOW project as subject matter expert on digital health. In partnership with Edwards’ CM&S Team, promotes internally the development and incorporation of in-silico clinical trials and digital twins.
Edwards representative in MedTech Europe, participating actively in its Digital Health Committee: Data Governance (as Co-Chair), Interoperability, AI and Cybersecurity WGs (re-elected as Chair); MedTech Canada; AdvaMed Cybersecurity WG. Martha also achieved the goal of making Edwards an active Avicenna Alliance member by collaborating actively in different Working Groups and their deliverables. Martha is currently the Leader of Avicenna Alliance’s Policy Development Working Group.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Accelerating a sustainable future in automotive through simulation
Judy Curran
Sr. Chief Technologist Automotive
Accelerating a sustainable future in automotive through simulation
12:40 PM - 01:00 PM EDT
Sustainability related topics like weight reduction, fuel economy improvements, and using safe and regulated materials, have always been a significant part of the vehicle development process. These challenges have become yet more important with road transportation accounting for almost one-fifth of the carbon dioxide (CO2) released into the environment. Automakers today face a huge challenge when it comes to their role in climate change, and they are sharing pledges and goals such as: percentage of EVs to be produced, zero carbon footprint achievements by a certain year, increased use of recyclable and sustainable materials, and many more declarations.
The goal of reducing emissions applies to all components in the vehicle especially the ever-growing amount of vehicle electronics that is being added. From the efficiency of the electrical architecture to the efficiency of the electric powertrain itself, to the slew of sensors added for the latest ADAS features, every system must be optimized.
Optimization includes selection of carbon neutral materials, design of efficient engineering processes that reduce prototype waste, design of components for recyclability, design for reusability across many vehicles, and many other optimization concepts.
Change may not come fast enough.
However, with the help of advanced technologies like simulation, the process toward a sustainable future can accelerate. In our presentation, we will use real-life examples from the automotive industry to show how simulation helps to master these sustainability challenges.
Judy Curran
Sr. Chief Technologist Automotive
Judy is an accomplished senior automotive executive with over 30 years of experience in automotive/mobility engineering, and technology leadership. She currently is the Chief Technologist Automotive at Ansys: partnering with OEMs and suppliers in their digital transformation. She is also an independent corporate board director at FORVIA, and MicroVision providing guidance on the automotive industry, and key technologies.
01:00 PM - 01:20 PM
01:00 PM - 01:20 PM
Computational Modeling and Simulation in the Regulated Medical Device Industry
Jeffrey E. Bischoff, PhD
Senior Research Director
Computational Modeling and Simulation in the Regulated Medical Device Industry
01:00 PM - 01:20 PM EDT
Computational modeling and simulation (CM&S) is an accepted tool for evaluating the safety and performance of orthopaedic medical devices. Over the past decade, the use of CM&S in this industry has advanced from early concept evaluation and worst-case evaluation in support of safety and performance testing to more innovative applications that more closely aim to mimic the clinical environment, and more directly impact individual patient care. These applications have been facilitated by guidance from standards organizations and device regulatory agencies around determining the appropriate model credibility for uses of simulation that can impact patients. The aim of this presentation is to provide an overview of traditional and emerging applications of CM&S in support of orthopaedic device development.
Jeffrey E. Bischoff, PhD
Senior Research Director
Dr. Jeffrey Bischoff is Senior Director of Biomechanics at Zimmer Biomet, where he has been since 2006. Prior to joining the medical device industry, he completed his Ph.D. in Mechanical Engineering at the University of Michigan, served as Lecturer at the University of Auckland (New Zealand) and as Assistant Professor at the University of South Carolina, where he pursued federally funded research in various aspects of computational biomechanics and was instrumental in forming a biomedical engineering degree program. Over the past fifteen years, Jeff has supported device development efforts using computational analysis across a wide range of orthopaedic applications, and throughout the total product life cycle from design ideation through regulatory clearance and commercialization. He has been actively involved with the ASME VVUQ40 Sub-Committee, including as chair of the orthopaedic working group and as vice-chair of the sub-committee. He is currently on his second term as chair of the sub-committee, effective 2022-2025.
01:00 PM - 01:20 PM
01:00 PM - 01:20 PM
Use of ANSYS products for in silico medicine in the cardiovascular system
Gabriele Dubini, PhD
Professor of Bioengineering
Use of ANSYS products for in silico medicine in the cardiovascular system
01:00 PM - 01:20 PM EDT
In silico medicine refers to computational techniques and mathematical models for clinical use. In particular, we speak of digital twins when these technologies are used to support medical decisions (e.g. diagnosis, treatment) for a single patient, leading to greater personalization of treatment and reducing the need for invasive tests. In silico trials involve the use of individualized computational models to ensure the safety and efficacy of new medical devices, drugs, or new surgical procedures in a clinical trial, leading to a potential reduction in human and animal involvement in trials, reducing time, costs and risks for the development of new products or treatments. In silico medicine requires the development of computational models able to faithfully reproduce both the patient-specific anatomy and the features and the materials of the medical treatment. At the Laboratory of Biological Structure Mechanics (LaBS) of Politecnico di Milano we have established a workflow able to generate a number of reliable models for in silico medicine in the cardiovascular system. In this presentation, I will describe three of them: the Transcatheter Aortic Valve Implantation (TAVI), the Thoracic EndoVascular Aortic Repair (TEVAR) and the Intra-Arterial Thrombectomy (IAT).
Gabriele Dubini, PhD
Professor of Bioengineering
Gabriele Dubini holds an MSc in Mechanical Engineering (cum laude, 1988) and a PhD in Bioengineering (1993) from POLIMI. He worked as Research Assistant in the Cardiothoracic Unit of Great Ormond Street Hospital for Children in London and was lecturer of Thermodynamics and Heat Transfer in the Energy Engineering Department of POLIMI, Associate Professor in Industrial Bioengineering and Director of Laboratory of Biological Structure Mechanics – LaBS of Politecnico di Milano. At present, he is Professor of Bioengineering in the Department of Chemistry, Materials and Chemical Engineering ‘Giulio Natta’. From 2008 to 2012 he was a member (elected) of the Council of the European Society of Biomechanics (ESB) and the Secretary-General for the 2010-12 biennium. Major research activities have included the microcirculation, virtual planning of paediatric cardiac surgery procedures, design and characterization of endovascular devices and microfluidic devices for biomedical applications. He has been the Chair of the PhD Programme in Bioengineering at Politecnico di Milano since January 2022. His h-index is 50, with more than 7,000 citations (Scopus, as of 31 July 2023).
01:00 PM - 01:20 PM
01:00 PM - 01:20 PM
SigmaDVD (sDVD): High Coverage Solution for Power Integrity Signoff
Anusha Vemuri
Physical Design Methodology Engineer
SigmaDVD (sDVD): High Coverage Solution for Power Integrity Signoff
01:00 PM - 01:20 PM EDT
SigmaDVD (sDVD) is a unique simulation method that provides complete power grid noise coverage for 100% of the design instances. This novel simulation technique generates tens of thousands of unique switching scenarios for each instance independently, using Monte Carlo techniques, and gathers the results into a distribution with a known three-sigma DVD value (sDVD) per instance. This analysis closes a known gap in power grid noise coverage available from other methods, such as vectorbased and vectorless direct transient simulations as well as BQM. The main considerations when comparing this new IR-Drop flow with other techniques are coverage (what % of hotspots from other IR-Drop methods does sDVD cover?) and how to handle the increase in hotspots/violating instances caused by the massive increase in noise coverage. We quantified this new flow's coverage capabilities through heatmap comparisons. In this presentation, we will first discuss the theory of sDVD, various trials we conducted to compare sDVD with other IR-Drop methods, and main conclusions (such as cost/coverage) based on our analyses. To demonstrate the added value from sDVD, we investigated sDVD's coverage of post-silicon identified outliers.
Anusha Vemuri
Physical Design Methodology Engineer
Anusha Vemuri works at NVIDIA as a Physical Design Methodology Engineer in the Hardware-VLSI team. She studied at UCLA for her Bachelors and Masters in Electrical Engineering and graduated in December, 2020.
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May 15, 2024
TIME EDT
TITLE
SPEAKER(S)
10:00 AM - 10:20 AM
10:00 AM - 10:20 AM
Future of Simulation-Driven Product Innovation
Prith Banerjee
Chief Technology Officer
Future of Simulation-Driven Product Innovation
10:00 AM - 10:20 AM EDT
Traditionally, engineered products were designed with mechanical and electrical CAD tools, simulated and validated for correctness with CAE tools, prototypes were fabricated and tested, and products were then manufactured at scale in factories.
This process required long product cycles often spanning years to build a new product. Today, unlimited computing and storage on the cloud can use generative design to explore thousands of design choices in near real-time, verify and validate these products virtually through simulation and manufacture the products using factory automation.
In the past, simulation tools were used to model specific, single physics such as mechanical structures, fluid dynamics, or electromagnetic interactions by solving second order partial differential equations using numerical methods.
Today, simulation tools solve multi-physics problems at scale using the most complex solvers. My talk will discuss five key pillars of the Ansys long term technology strategy:
(1) Core Physics and Numerical Methods including novel solver methods, geometry and meshing, and multi-domain, multiscale simulation
(2) High-Performance Computing using shared memory, message-passing, GPUs and quantum computing
(3) AI/Machine learning for solver acceleration and automatic solver settings
(4) Cloud and Platforms for cloud marketplace and cloud native solvers
(5) Digital Engineering including MBSE and digital twins.
Prith Banerjee leads the evolution of Ansys technology and champions the company's next phase of innovation and growth. During his 35-year technology career - from academia, to initiating startups, to managing innovation in enterprise environments - he has actively observed, and promoted how organizations can realize open innovation success.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Ansys AI, Advancing design by leveraging the power of AI
Marc Born
Senior Director Product Management
Ansys AI, Advancing design by leveraging the power of AI
10:20 AM - 10:40 AM EDT
The recent progress in AI technology surely has the potential to change human life in various aspects. As it is Ansys’s vision to power innovation that drives human advancements we are fully committed to leverage the power of AI to let that vision come true. We work along our pervasive insights strategy that will help everybody to make better and faster decisions with the help of simulation and AI. In this presentation our recent advancements in AI at Ansys will be introduced: Ansys SimAI, which is a cloud-native, deep-learning AI platform for simulation that is trained with past simulation data to solve different application cases in various physics at lightning speed. Ansys GPT, which is the new AI-driven virtual assistant with Ansys-specific knowledge based on reliable and traceable resources. And finally, Ansys AI+ which are various applications of AI technology to enhance the capabilities of our existing products.
Marc Born
Senior Director Product Management
Dr. Marc Born is Senior Director in the Ansys product management organization. In his current role he is responsible for the product management teams of the Safety, Embedded Software and Digital Twin product lines as well as Ansys AI. His main interests include Model-based Systems Engineering (MBSE) and model-based safety analysis.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Key Findings of Surveys on Cloud Computing for Engineering Simulation
Wim Slagter, PhD
Director, Partner Programs
Key Findings of Surveys on Cloud Computing for Engineering Simulation
10:20 AM - 10:40 AM EDT
In this presentation, we will unveil the key insights obtained from recent research studies on cloud-enabled simulations. These studies were conducted by Hyperion Research and Peerless Research through surveys involving over 800 engineers, engineering and IT managers, as well as C-level executives. Beyond the overarching findings, you will gain a deeper understanding of the challenges, driving factors (including financial ROI), methods for accessing cloud resources, and best practices for implementing and expanding a cloud computing initiative.
Wim Slagter, PhD
Director, Partner Programs
Wim is director partner programs at Ansys. In his role, he is responsible for the overall design and execution of the partner programs (including HPC programs) within Corporate Development and Global Partnerships at Ansys. Wim has 30 years of experience in the business of engineering simulation software with management positions in software development, consulting, sales, and product management. Wim holds a PhD degree in Aerospace Engineering from the Technical University of Delft in the Netherlands.
We’re witnessing a disruption in product development as the physical and digital worlds merge to generate unprecedented product innovation. Because products are smarter and more innovative than ever, how they are designed, brought to market, and operated has been profoundly altered. Engineering simulation is key in enabling greater insight and rigor in product design. In this presentation, Dr. Williams will describe several of the key inventions contributed by Ansys that have led to the most powerful suite of tools for engineering simulation. Advancements in numerical methods like electromagnetic mesh fusion, computational fluid dynamics GPU solvers, and Isogeometric explicit solvers, and AI/ML solutions will be discussed. Industry examples will be drawn from automotive, aerospace, healthcare, and high-performance computing.
Larry Williams
Distinguished Engineer
Dr. Larry Williams serves as Distinguished Engineer at Ansys, Inc., responsible for driving the application and strategic direction of the company’s advanced simulation products, with emphasis on Electronics, Structural Mechanics, and Fluid Dynamics solvers. He is best known for his work on the High Frequency Structure Simulator (HFSS) for 3D high-frequency electromagnetics, antennas, and high-speed electronics. Dr. Williams is an expert in the application of electromagnetic field simulation and has over 20 years’ experience in the fields of electromagnetics and communications engineering, has delivered technical lectures internationally, and has published numerous technical papers on the subject. He serves on the UC Irvine Henry Samueli School of Engineering Dean’s Advisory Board. He received his Masters, Engineers, and Ph.D. degrees from UCLA in 1989, 1993 and 1995, respectively.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Using GenAI and ML in Simulation Tools for Chiplet-based 3DIC Design
Norman Chang
Ansys Fellow
Using GenAI and ML in Simulation Tools for Chiplet-based 3DIC Design
10:20 AM - 10:40 AM EDT
Chiplet-based design adds multiple chiplets in 3DIC and interfaces to systems already having millions of parameters, regions, and connections. AI/ML can help handle the increased complexity much as it has in many other areas. Typical uses include parameter value and consistency checks, rapid identification of problem areas, trend analysis, optimization procedures, and rule and standards checking. ML can simplify procedures, offer suggestions, explain error warnings, and make complex programs easier to use. Design tools can also offer interfaces to custom ML applications and to popular systems such as ChatGPT/GenAI. ML can even provide intelligent help with difficult tasks such as simulation and sytem technology co-optimization.
Norman Chang
Ansys Fellow
Norman Chang is an Ansys Fellow and Chief Technologist of Electronics, Semiconductor, and Optics BU, where he currently leads AI/ML and security initiatives. Before joining Ansys, he was Co-Founder/VP at Apache Design Solutions, a leading provider of innovative power analysis and optimization solutions. He also led a research group on power/signal/thermal integrity of chipsets based on VLIW architecture at HP Labs. He holds 30 patents and has co-authored over 60 IEEE papers and a popular book on “Interconnect Analysis and Synthesis” by Wiley-Interscience. He is an IEEE fellow and an active committee member at IEEE EDPS (Electronic Design Process Symposium) and SI2. He earned a PhD in electrical engineering and computer sciences from UC Berkeley.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
Model-Based Solutions for Embedded Controls of the Future
Christian Schrader
Global Technical Lead Automotive
Model-Based Solutions for Embedded Controls of the Future
10:40 AM - 11:00 AM EDT
Autonomous driving is pushing the demands for fail-operational systems in cars today and tomorrow. This presentation gives insights into the problem space and how it can be addressed by means of a model-based end-to-end software development approach for safety-critical systems in accordance with the ISO 26262 safety standard.
Christian Schrader
Global Technical Lead Automotive
Working in application engineering for safety analysis, model-based software design and model-based system engineering since 2006. Holding a diploma in computer science and embedded systems. Based in Oldenburg, Germany.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
The Foundation of Domain Decomposition Technologies in HFSS
Kezhong Zhao
Ansys Fellow
The Foundation of Domain Decomposition Technologies in HFSS
10:40 AM - 11:00 AM EDT
There have been significant advances in HFSS over the last decade. Some of these new technologies such as general domain decomposition solver, hybrid finite element-boundary integral solver (FE-BI), hybrid integral equation region solver (IE region), and more recently 3D component array and mesh fusion solvers are all based on powerful domain decomposition method (DDM). DDM is a technique that allows HFSS to exploit high performance computing (HPC) capabilities to solve EM problems of unprecedented size and scope. The basic idea of DDM is to decompose the original problem into several non-overlapping and possibly repetitive sub-domains. The continuity of electromagnetic fields at the interfaces between adjacent sub-domains is enforced through some suitable boundary conditions. By doing so, the most efficient solver or meshing technology can be employed in each domain. In this presentation, we will go over the following.
• Overview of domain decomposition formulations in HFSS
• HFSS solver evolution in the past decade
• In-depth discussion in various DDM technologies available in HFSS including 3D component array, FE-BI/IE Region, and mesh fusion
• How each technology compares with traditional approach in term of accuracy and computational requirements
Kezhong Zhao
Ansys Fellow
Kezhong Zhao received PhD degrees in electrical engineering from The Ohio State University in 2007. Right after graduation he joined Ansoft Corporation. He is currently an Ansys fellow in the HFSS solver team. He has developed several popular features in HFSS including FEBI, 3D component array and mesh fusion solver.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
Enhancing AI-Based Perception Testing for Autonomous Systems
Lionel Bennes
Lead Product Manager AVxcelerate
Enhancing AI-Based Perception Testing for Autonomous Systems
11:40 AM - 12:00 PM EDT
This session delves into a practical approach for safety by validation of Autonomous Vehicles perception systems, based on trustable, physically accurate sensors simulation approach. With the increasing complexity of Level 3 and above Operation Design Domains (ODD), traditional testing methods face limitations. We present a unified solution, merging Ansys AVxcelerate's sensor simulation with NVIDIA DriveSim, enabling comprehensive evaluation of sensors and their perception systems in diverse scenarios. The synthetic data produced facilitates a robust safety case, reducing the need for on-road testing. Thanks to the real time aspect of sensors simulation, this approach can be deployed for SiL and HiL testing. Emphasis will be on GPU-accelerated radar simulation using a real time, physically accurate approach, offering precise modeling of signal propagation. Specific safety critical radar edge cases simulations will be highlighted.
Lionel Bennes, PhD, serves as lead product manager for AVxcelerate products at Ansys. Lionel has more than 10 years of experience in optical and real-time simulation, mainly in the automotive and A&D fields. He has overseen the design and development of headlamp and sensors products, leveraging a unique combination of real-time rendering techniques combined with physics-based optical simulations.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
ML-enabled Optical Side-channel Detection on Security Chip
Henian Li
Graduate Research Assistant
ML-enabled Optical Side-channel Detection on Security Chip
11:40 AM - 12:00 PM EDT
Optical side-channel analysis poses a significant threat to the security of integrated circuits (ICs) by enabling the disclosure of secret data, such as encryption keys. In our work, we present a multiphysics simulation framework of optical side-channel analysis from the layout database of a fabricated testchip. By leveraging accurate device models and electro-photonic physics, our framework models the photon emission behavior in ICs and enables the statistical correlation of emitted photon patterns with secret keys. In our presented solution, we begin by analyzing the device's layout under test and simulating the channel current of NMOS devices under various stimuli. By generating photon images based on pre-characterized models, we overlay individual photon images on the connected polysilicon ground metal. Through lossless image processing, we extracted photon intensity patterns from collected photon emission heatmaps and then performed correlation-based photon emission analysis (CPEA) to disclose the security key byte by byte. Our framework enables IC designers to assess the risks associated with optical side-channel attacks and develop efficient countermeasures at the pre-silicon stage.
Henian Li received his B.S. degree in integrated circuits and integration system from Hefei University of Technology, China, and joined University of Florida in 2019, where he is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, under the supervision of Dr. Mark Tehranipoor. His current research interests include hardware security, fault-injection countermeasures, side-channel assessment, and secure scan.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
Powering Innovation with “Bring your Own Cloud” - Marketplace offering
John Baker
Infrastructure Engineer
Powering Innovation with “Bring your Own Cloud” - Marketplace offering
11:40 AM - 12:00 PM EDT
In his keynote, Dr. John Baker, an experienced ex HPC SysAdmin, will provide us with an overview of the challenges that our customers are facing in various industries, including Manufacturing, Electronics, and Automotive, aiming to remove the hardware barrier and achieve more efficient simulation at a better cost within a shorter timeframe. This presentation will deliver key insights applicable to companies of all sizes, from startups to enterprises, and will offer thoughts on the benefits of transitioning to a hybrid cloud approach. Dr. Baker's focus will be on the "Bring your Own Cloud" offering, collaborating with industry-leading cloud service providers such as AWS (Amazon Web Services) or Microsoft, and demonstrating how to efficiently deploy our tools onboard in just a few minutes.
PhD in Computational Chemistry from the University of Nottingham with a focus on GPU algorithms for molecular dynamics simulations. Passionate about HPC technologies and workflows with 10 years of HPC Infrastructure experience. Previous roles include supporting the HPC infrastructure for a famous motorsport company and the UK national supercomputer (ARCHER). Now John helps engineers gain the power of on-demand supercomputers in the cloud to simulate bigger and better than they could before.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
The Importance of Digital Materials Information Management in Digital Engineering Transformation
Amandeep Singh Mhay
Technical Specialist - Digital Tools & Data
The Importance of Digital Materials Information Management in Digital Engineering Transformation
11:40 AM - 12:00 PM EDT
Rolls-Royce has been on a multi-phase, multi-year journey to replace its legacy systems to secure its critical IP with the materials information management solution from Ansys, Granta MI. This episode tracks the key milestones as this solution was scaled within the enterprise and integrated across engineering tools like PLM, CAD and CAE. Bottom-line cost benefit drivers are also outlined – breaking down the £6.9m/annum savings the project secures through reduction of duplicate testing, efficiency improvements etc. Finally, a framework within Granta MI is described to outline how Rolls-Royce identify risk and manage regulatory obligations associated with their materials.
Amandeep Singh Mhay
Technical Specialist - Digital Tools & Data
Amandeep Singh Mhay has a degree in Aerospace Engineering and Masters in Material Science from the University of Hertfordshire. He has been recognised for his contributions to materials engineering by the Institute of Materials, Minerals and Mining IOM3 by achieving his Chartership and Fellowship from the Institute. Amandeep has over 18 year experience in materials data management and analytics to produce design allowables, and holds the position as Technical Specialist in Digital Tools & Data at Rolls-Royce.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
Drive innovation and efficiency in product development with NVIDIA accelerated computing
Ian Pegler
Global Business Development - CAE
Drive innovation and efficiency in product development with NVIDIA accelerated computing
11:40 AM - 12:00 PM EDT
Harness the power of NVIDIA GPUs to accelerate complex simulations and enhance overall productivity. Empower designers and engineers with faster time to insight and the ability to easily tackle even larger and more intricate simulations. An overview of the NVIDIA platform will be provided including the GPUs most suited to accelerating Ansys applications. Customer examples from Seagate and Leonardo (approval pending) will also be shown to demonstrate real world performance gains. Finally, accessing GPUs via Ansys Gateway powered by AWS will be discussed (pending approval from AWS).
Ian graduated from the University of Southampton in the UK with a master’s degree in aerospace engineering. Formally a CFD Application Engineer, Ian now head-up business development for CAE at NVIDIA. Outside work Ian is a keen runner, programmer, and enjoys skiing. Ian is based in Chicago.
11:40 AM - 12:20 PM
11:40 AM - 12:20 PM
RaptorX: A Silicon-optimized Electromagnetic Solver
Kostas Nikellis
Director R&D
RaptorX: A Silicon-optimized Electromagnetic Solver
11:40 AM - 12:20 PM EDT
Silicon integration technology and associated devices have undergone an impressive evolution over the last decades. Device and circuit density increase due to CMOS devices' physical scaling and expansion in the Front-End-of-Line (FEOL) and passive devices in the Back-End-of-Line (BEOL). Silicon integrated devices are ruled by complex electromagnetic (EM) effects, including electric and magnetic field coupling and interaction with the semiconductor bulk substrate. As chips grow, complexity, operating frequency, and integration techniques push integration boundaries from 2D SoCs to 3D stacked ICs. Consequently, it becomes critical to accurately analyze electromagnetic coupling to ensure optimal performance of your designs. This presentation focuses on Ansys RaptorX, the hybrid solver that powers the Ansys silicon-optimized electromagnetic simulation portfolio. Starting from Maxwell's equations, the fundamentals of the modeling methodology are presented and explained. Attendees will have a chance to understand how and why the combination of Partial Element Equivalent Circuit and Random Walk solvers into a single hybrid method (PEEC-RW) can provide accurate and efficient models for modern SoC and 3D IC designs.
Dr. Kostas Nikellis is responsible for the evolution of the electromagnetic modeling engine for high speed and RF SoC silicon designs. He has a broad background in electromagnetic modeling, RF and high-speed silicon design. He holds a diploma and PhD in Electrical and Computer Engineering from NTUA, Athens and an M.B.A. from University of Piraeus.
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Connecting MBSE to Operations via Hybrid Digital Twins
Sameer Kher
Senior Director, Product Development
Connecting MBSE to Operations via Hybrid Digital Twins
12:00 PM - 12:20 PM EDT
Ansys' MBSE solutions help connect the key organizational silos of engineering design and product operations, improving both the bottom-line costs and top-line profitability for the organization. Digital Twins are a key component of that solution, helping bridge the gap between the design and operations processes. With Digital Twins, design knowledge can be used to improve product operations and conversely, field behavior can be used to improve product design. Hybrid techniques, that combine domain knowledge using physics-based simulation with real-world data using AI/ML techniques, to create accurate evolving Hybrid Digital Twins, are critically important to making this vision a reality. In this talk, we will show how Hybrid Digital Twins help customers quickly realize the promise of MBSE.
Sameer Kher, M.S., M.B.A is currently Senior Director, Product Development at Ansys, where he is responsible for Digital Twin and System Simulation activities. Most recently, Sameer was responsible for the conception and launch of Twin Builder, an award-winning, first-of-its-kind product that enables the use of simulation in operations. He has a background in engineering with a BS in Electronics from the University of Pune, an MS in Computer Engineering from the University of Cincinnati, and an MBA from Carnegie Mellon University.
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Accelerating Electromagnetic Component Design with AI/ML
Peng Han
Lead Application Engineer
Accelerating Electromagnetic Component Design with AI/ML
12:00 PM - 12:20 PM EDT
Electromagnetic devices are everywhere in our daily lives, ranging from consumer electronics, home appliances to electric vehicles and electric aircraft. Traditional simulations of electromagnetic components rely heavily on numerical methods, such as the finite element method and boundary element method, just to name a few. With the advancements of scientific machine learning (ML), particularly the geometric deep learning and physics-informed ML, the governing equations of electromagnetic phenomena can now be solved more efficiently by combining the numerical solutions and artificial intelligence (AI) and ML techniques. This presentation will showcase the workflow of using Ansys Maxwell, our gold standard electromagnetic simulation tool, together with Ansys SimAI for electromagnetic field training and prediction. The combination transforms the design and analysis of electromagnetic components by reducing the field prediction time by tens to hundreds of times. Three typical examples, one for the magnetic force prediction on PCB traces, one for the performance prediction of electric traction motors, and one for the magnetic field prediction produced by permanent magnets, are included to highlight the advantages of using Ansys Maxwell and Ansys SimAI. The workflow automation using python APIs and the integration of SimAI into AEDT are also discussed.
Peng Han is now with Ansys as a Lead Application Engineer. He received the B.Sc. and Ph.D. degrees in Electrical Engineering from Southeast University, China, in 2012 and 2017, respectively. He was a Postdoctoral Researcher at The Ohio State University, and later University of Kentucky. His research interests include low-frequency electromagnetics in different applications.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
Demonstrating the power of Digital Engineering with a Wildfire Detection Example
Max Housner
Field Application Engineer
Demonstrating the power of Digital Engineering with a Wildfire Detection Example
12:20 PM - 12:40 PM EDT
Join Max Housner as he demonstrates the Ansys technology available to establish a true digital thread, linking MBSE models to high-fidelity physics tools and mission simulators, in an open and extensible architecture, geared to accelerate development of digital twins and functional products. He will use an example multi-domain analysis, centered on a wildfire detection mission, to demonstrate an existing, connected technology stack that integrates high-fidelity specialized modeling software with a physics-based digital mission environment, creating a systems of systems analysis capability.
Max Housner
Field Application Engineer
Max Housner is a Field Application Engineer for Ansys based out on the West Coast. He works primarily on the digital mission engineering software side of Ansys, specializing in Ansys STK, with a background in computation and space systems engineering.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
Multibody spacecraft trajectories: Another small step
Jim Woodburn, PhD
Chief Orbital Scientist & Ansys Fellow
Cody Short, PhD
Principal Astrodynamicist
Multibody spacecraft trajectories: Another small step
12:20 PM - 12:40 PM EDT
In this wide-ranging discussion, AGI Chief Orbital Scientist Jim Woodburn and Principal Astrodynamicist Cody Short explain how leveraging multibody dynamics for trajectory design has opened new avenues for spacecraft missions. As governments and private entities across the globe once again set their sight toward the Moon, they do so knowing that many small steps taken by countless space professionals have prepared the way to reprise humanity’s ventures to Earth’s solitary natural satellite. These compelling strides taken by engineers and scientists over the last several decades have positioned the space industry to effectively return to Moon and fully leverage the cislunar domain. This discussion will help to illustrate some of the extremely interesting multibody dynamics concepts that are embedded in the ongoing advancements.
Jim is responsible for the development, verification, and enhancement of algorithms related to orbit determination. Jim has worked in the field of satellite dynamics and operations since 1986. He holds three U.S. patents, a B.S. degree (aerospace engineering) from Penn State and a Ph.D. (aerospace engineering) from Texas at Austin.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
Dataflow Development and Machine Learning for Nanoindentation Data Analysis
David Mercier
Senior R&D Project Manager
Dataflow Development and Machine Learning for Nanoindentation Data Analysis
12:20 PM - 12:40 PM EDT
Nanoindentation is a widely adopted technique for investigating the mechanical properties of materials at the nanoscale. In recent years, there has been a growing interest in applying machine learning (ML) algorithms to enhance the analysis of nanoindentation data, enabling more accurate and efficient characterization of material behavior. This abstract presents a study on nanoindentation data analysis using an automated dataflow combining materials data management and ML algorithms. The research leverages experimental data captured in Granta MI software, a powerful platform that integrates material information management and analysis capabilities. Specifically, the study focuses on utilizing the Python scripting toolkit provided by Granta MI to implement a dataflow development approach for nanoindentation data analysis within the framework of the EU funded Nanomecommons project (https://cordis.europa.eu/project/id/952869). The experimental data consists of indentation force-displacement curves obtained from various materials subjected to nanoindentation tests. These curves contain valuable information about the material's mechanical response and can be used to extract important mechanical properties such as hardness and elastic modulus. The study explores the implementation of ML algorithms within the dataflow development approach to automate the analysis of nanoindentation data. By leveraging the Python scripting toolkit of Granta MI, the researchers develop custom data processing workflows that enable seamless integration of ML algorithms for predicting material properties based on the force-displacement curves. Preliminary results demonstrate the effectiveness of the proposed dataflow development approach in accurately predicting material properties from nanoindentation data. The combination of Granta MI's robust data management capabilities and the flexibility of Python scripting allows for efficient data preprocessing, feature extraction, and model training. The successful implementation of ML algorithms within the dataflow development approach showcases the potential for advancing material characterization techniques, enabling researchers to rapidly analyze large amounts of nanoindentation data and extract valuable insights. This integration also promotes collaboration within the Nanomecommons project by facilitating the sharing and reproducibility of data analysis workflows. In conclusion, this study highlights the benefits of combining ML algorithms and dataflow development using the Python scripting toolkit of Granta MI for nanoindentation data analysis. The approach offers a powerful tool for accelerating material characterization, fostering collaboration, and advancing research within the Nanomecommons project and beyond.
Dr. David Mercier completed his PhD in material science and engineering at the University of Grenoble (France) in 2012, specializing in the design of thin films tailored for applications in microelectronics. His journey then led him to enriching experiences through impactful postdoctoral research projects conducted in Germany (MPIE) and Belgium (CRM Group) between 2013 and 2018. During this period, his focus shifted to the realm of metallurgy, where he dedicated his efforts to multiscale modeling and the characterization of mechanical properties using cutting-edge techniques like nanoindentation. Notably, David played an active role in advancing nanoindentation data processing routines, showcasing his contributions on his GitHub page (https://github.com/DavidMercier). In 2018, David joined the UK company Granta Design, where he spearheaded collaborative initiatives with academics on materials education. After the acquisition of Granta Design by Ansys Inc., David transitioned into a pivotal role at the Office of the CTO as a Senior Collaborative R&D Project Manager. He has been at the forefront of leading European-funded projects, focusing on the development of innovative software solutions, particularly in the field of Integrated Computational Materials Engineering (ICME) and Material Informatics.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Closing the Skills Gap in the Existing Workforce to Leverage the Power of Simulation
Rajesh Bhaskaran
Swanson Director of Engineering Simulation
Closing the Skills Gap in the Existing Workforce to Leverage the Power of Simulation
12:40 PM - 01:00 PM EDT
Democratization of simulation will enable design engineers and other non-specialists to leverage the power of simulation earlier in the design cycle leading to better products. There are two elements to this democratization. First, the tools need to become easier to use. This is already happening with products such as Ansys Discovery. Second, the educational ecosystem needs to better prepare non-specialists to combine the art of design with the science of simulation. It is not necessary for non-specialists to learn the details of the relevant math and physics since the simulation tool takes care of the nitty-gritty. However, it is vital for them to develop a deep conceptual understanding of the underlying fundamentals to avoid “garbage in, garbage out.”
At Cornell, we have developed two hands-on online certificate programs on finite-element analysis (FEA) and computational fluid dynamics (CFD) targeted at working professionals. They enable non-specialists to learn both the science and practice of simulation efficiently in a holistic fashion. The certificates use problem-based learning to teach both the underlying big ideas and the use of simulation tool in an integrated fashion. The FEA certificate uses Ansys Mechanical and the CFD certificate uses Ansys Fluent.
Each certificate consists of five courses, with most courses being designed around one or two example problems that have been defined in collaboration with Ansys to be industry relevant. For instance, a realistic pressure vessel example is used as a platform to help the leaner develop a deep conceptual understanding of 3D elasticity and its application to practical problems using Ansys Mechanical. The underlying concepts for each example are taught just-in-time so that the learner can readily connect them to what they are doing in Ansys.
Within each certificate, courses are offered in two-week segments to accommodate professionals’ work schedules. A course facilitator provides help, answers learners’ questions and does the grading. Learners can also get help from others in their small cohort through the discussion board. Graded work involves turning in Ansys-based solutions and explanations to example and challenge problems. This is in addition to the quizzes following instructional videos which are multiple-choice and automatically graded. By chunking the content into short videos and tightly integrating videos with assessments, the learning is active and engaging.
The videos and assessments in the certificates are also used in regular Cornell courses where they enable classroom time to be used for mentoring students on open-ended Ansys-based design projects. Thus, we serve both working professionals and college students using the same material. This helps expand the impact and realize our vision of transforming the educational ecosystem using the disruptive potential of online learning to democratize simulations.
Rajesh Bhaskaran
Swanson Director of Engineering Simulation
Rajesh Bhaskaran is the Swanson Director of Engineering Simulation in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. His work seeks to promote the democratization of simulation through effective integration of industry-standard simulation software into engineering education. His vision is to create a new paradigm in engineering education by combining two disruptive technologies – simulations and online learning. He has helped introduce Ansys-based simulations into 17 Cornell engineering courses. About 282,000 people from 173 countries have enrolled in his massive open online course on simulations at edx.org; this course was a finalist for the edX prize. He has developed two online Cornell certificates in finite-element analysis and computational fluid dynamics for working professionals to learn practical simulations using Ansys tools. He has been awarded the Dennis G. Shepherd Prize for Excellence in Teaching by Cornell University. He holds a B. Tech degree from Indian Institute of Technology, Madras and a Ph.D. in Aerospace Engineering from Iowa State University.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
AI-based Digital Twins
Matt Adams
Lead Product Specialist
AI-based Digital Twins
12:40 PM - 01:00 PM EDT
Digital Twins must be accurate, adaptable, and scalable to meet industry needs. Simulation or data analytics alone often fall short in meeting these needs. AI/ML techniques are used to create Hybrid Digital Twins, which are a combination of simulation models and sensor data. These AI/ML techniques include building models of high-fidelity simulation behavior, calibrating and augmenting simulation models, and combining simulation and sensor data into hybrid models. Hybrid Digital Twins maximize the knowledge from both engineering and operations to achieve the accuracy and adaptability required to match dynamic field conditions.
Matt is a Lead Product Specialist at Ansys specializing in machine learning methods to enhance physics-based simulation. Matt’s prior experience was in system level modeling in the automotive industry. His education is in physics where he used machine learning to study astrophysical data.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries
Jimmy He
Senior Application Engineer
Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries
12:40 PM - 01:00 PM EDT
Modern digital engineering design process commonly involves expensive repeated simulations on varying three-dimensional (3D) geometries. The efficient prediction capability of neural networks (NNs) makes them a suitable surrogate to provide design insights. We present a novel deep operator network (DeepONet) variant called Geom-DeepONet, which encodes parameterized 3D geometries and predicts full-field solutions on an arbitrary number of nodes. A numerical benchmark was conducted to compare Geom-DeepONet to PointNet and vanilla DeepONet, where results show that our architecture trains fast with a small memory footprint and yields the most accurate results among the three with less than 2 MPa stress error. Results show a much lower generalization error of our architecture on unseen dissimilar designs than vanilla DeepONet. Once trained, the model can predict vector solutions, and speed can be over 10^5 times faster than implicit finite element simulations for large meshes. The ability of the proposed model to perform efficient and accurate field predictions on variable 3D geometries, especially those discretized by different nodes and elements, makes it a valuable tool for preliminary performance evaluation and design optimizations.
Jimmy He
Senior Application Engineer
Junyan ‘Jimmy’ He is a recent graduate from the University of Illinois at Urbana-Champaign. He obtained his Ph.D. in Mechanical Engineering in 2023 with a focus on finite element simulations and machine learning. He started with Ansys in 2022 and works on Crystal Plasticity, ICME, Machine Learning and Workflow Automation.
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May 16, 2024
TIME EDT
TITLE
SPEAKER(S)
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Ansys SimAI for CFD Studies
Matteo Aroni
Senior Application Engineering Manager, Fluids
Ansys SimAI for CFD Studies
10:20 AM - 10:40 AM EDT
Are we on the edge of a new era for virtual prototyping ? Artificial intelligence may change the way we use simulation and the way it fits in product development cycles. Ansys SimAI is the brand new, physics agnostic, cloud-based AI Platform from Ansys. Based on deep learning techniques it can be trained with any simulation result and can predict the solution field on an unseen design breathtakingly fast. In this session you will see the platform in action, both in its native user interface as well as connected to the popular Blender morpher and you’ll hear about a selection of CFD use cases our team validated SimAI speed and insight against. Will you find your favorite CFD application?
Matteo Aroni
Senior Application Engineering Manager, Fluids
Matteo is a Senior Application Engineering Manager at Ansys with over 20 years of experience in CFD, focusing on automotive and aerospace simulation processes. Matteo has a degree in Aerospace Engineering and Rocket Propulsion and currently leads a team of expert CFD engineers in Europe.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Advancing Innovation in Accurate Simulation of the Light with GPU Computation
Mathieu Reigneau
Senior Product Manager
Advancing Innovation in Accurate Simulation of the Light with GPU Computation
10:20 AM - 10:40 AM EDT
Whether simulating the propagation of light as rays or as waves, accurately computing the equations of optics and photonics requires extreme power and/or a very long compute time. GPUs have become the new revolution in solving physics equations and are very fit to calculate photons path and energy. We'll cover how we adapted our current CPU solvers into scalable general-purpose GPU solvers, taking advantage of the latest GPU technologies available, while maintaining perfect accuracy in regard to our already approved CPU references. In a second part we will illustrate how GPU transforms innovation path beyond acceleration, addressing new challenges within reasonable deadlines, and unleashing exploration into an infinity of what-ifs scenarios, up to a product experience getting closer and closer to reality, toward zero prototype tooling.
Mathieu Reigneau
Senior Product Manager
Mathieu Reigneau Senior Product Manager, Ansys Mathieu is a product manager of SPEOS user experience and visualization. He joined Ansys 13 years ago as a consulting engineer. Previously, he worked at ST Microelectronics, where he filed seven patents. He has led high-end photometry and visual ergonomics projects, and is an expert in real-time photometric simulation, predictive rendering, and virtual reality. Mathieu has an engineering degree in lasers and optics, and a master’s degree in photonics.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
On Top Of Next-Gen Antenna Solutions
Katerina Galitskaya
Senior Antenna Engineer
On Top Of Next-Gen Antenna Solutions
10:20 AM - 10:40 AM EDT
The technical session is intended for those who are interested in practical example of multiband base station antenna. Topics like multiband array setup, mutual coupling, radiation parameters and beamforming will be covered.
Katerina is a Senior Antenna Engineer at Kaelus, that provides next generation Antenna and RF solutions. She is an active member of the EM simulation community. Katerina writes a technical blog for The Microwave Journal and posts weekly insights on LinkedIn.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Tips and Tricks with Ansys Mechanical
Sachin Verghese
Senior Director R&D
Tips and Tricks with Ansys Mechanical
10:20 AM - 10:40 AM EDT
Ansys Mechanical has long been known as a best-in-class structural simulation platform that is easy to use, accurate, dependable, and extremely customizable. Through the years, we have continued to enhance Mechanical and add features to make what it’s known for even better. Whether you are just getting started on your Mechanical journey or a seasoned veteran, this presentation will help you learn about the latest advancements and tips on how to be more efficient when performing simulations. We will start by showcasing new ways to access Mechanical and the benefits of opening through the traditional way of Ansys Workbench or through the new standalone version. Then highlighting new themes that are now available to provide a consistent user experience across our suite of products. Finally wrapping it all up with navigating the user interface and tips and tricks on how to be more efficient and leverage the latest new features and enhancements.
Sachin Verghese
Senior Director R&D
I started my career at Ansys 18 years ago and have enjoyed being a part of the research and development team ever since. I am currently the Senior Director of R&D for the Mechanical product and work closely with the development teams that make this product a reality. The creative and ingenious ways in which customers use our software, to design and bring their products to life, has always fascinated me. I am passionate about making the best simulation tools so that our customers can defy boundaries to build innovative and transformational products.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
Silicon Interposer Extraction Using Ansys RaptorX
Garth Sundberg
Senior Principal Engineer
Silicon Interposer Extraction Using Ansys RaptorX
10:40 AM - 11:00 AM EDT
Silicon interposers are an important technology to increase the functionality of electronics while reducing the power consumed and size required. Electromagnetic modeling of silicon interposers is required to achieve this reduction. The Ansys RaptorX solver is perfect for modeling silicon interposers. This presentation will demonstrate the capabilities RaptorX has which make it well suited for extracting silicon interposers. Those capabilities are capacity, speed, accuracy, the ability to model through silicon vias (TSVs), and the ability to model deep trench capacitors (DTCs). These capabilities are demonstrated by extracting an interposer with signal nets, ground nets, power nets, TSVs, and DTCs. The extraction results are shown and discussed.
Garth Sundberg
Senior Principal Engineer
Dr. Garth Sundberg is a Senior Principal Engineer at Ansys where he works with on-die electromagnetic extraction including signal and power integrity, RF-IC, interposers, quantum computing, and die/package co-simulations. He also works on system level signal and power integrity, electrical and thermal modeling of PCBs, connectors, and EMI/EMC.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
Impact of Environmental Thermal Loads on a Headlamp Design Using Ansys System Coupling
Maxime Cailler
Application Engineer II
Impact of Environmental Thermal Loads on a Headlamp Design Using Ansys System Coupling
10:40 AM - 11:00 AM EDT
Impact of environmental thermal loads on a headlamp design using Ansys System Coupling This presentation showcases a holistic methodology for the comprehensive analysis of headlamp systems. The primary objectives of this example application study are to evaluate optical performance and ensure compliance with stringent regulations. We delve into the challenges posed by the dynamic thermal environment surrounding modern headlamp assemblies and discuss the need for a synergistic simulation framework. By concurrently simulating the optical behavior, thermal dynamics, and structural responses, engineers can gain a deeper understanding of how these components interact under real-world conditions. We showcase a new approach to headlamp design with the integration of optics, thermal, and structural solvers through Ansys System Coupling.
Maxime Cailler
Application Engineer II
Maxime Cailler, Optics Application Engineer
• Background: Master’s degree in Optics & Photonics (Institut d’Optique Graduate School, Palaiseau)
• Joined Ansys just after degree (early 2020) as Application Engineer (Speos)
• Main focus: Optics Multiphysics Workflows // Camera Sensors Applications
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
SigmaDVD: High Coverage Solution for Power Integrity Signoff
Anusha Vemuri
Physical Design Methodology Engineer
SigmaDVD: High Coverage Solution for Power Integrity Signoff
11:00 AM - 11:20 AM EDT
SigmaDVD (sDVD) is a unique simulation method that provides complete power grid noise coverage for 100% of the design instances. This novel simulation technique generates tens of thousands of unique switching scenarios for each instance independently, using Monte Carlo techniques, and gathers the results into a distribution with a known three-sigma DVD value (sDVD) per instance. This analysis closes a known gap in power grid noise coverage available from other methods, such as vectorbased and vectorless direct transient simulations as well as BQM. The main considerations when comparing this new IR-Drop flow with other techniques are coverage (what % of hotspots from other IR-Drop methods does sDVD cover?) and how to handle the increase in hotspots/violating instances caused by the massive increase in noise coverage. We quantified this new flow's coverage capabilities through heatmap comparisons. In this presentation, we will first discuss the theory of sDVD, various trials we conducted to compare sDVD with other IR-Drop methods, and main conclusions (such as cost/coverage) based on our analyses. To demonstrate the added value from sDVD, we investigated sDVD's coverage of post-silicon identified outliers.
Anusha Vemuri
Physical Design Methodology Engineer
Anusha Vemuri works at NVIDIA as a Physical Design Methodology Engineer in the Hardware-VLSI team. She studied at UCLA for her Bachelors and Masters in Electrical Engineering and graduated in December, 2020.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
Ansys Optical Solution Demo for CMOS Sensor Camera
Sandra Gely
Senior Manager Application Engineering
Ansys Optical Solution Demo for CMOS Sensor Camera
11:00 AM - 11:20 AM EDT
CMOS image sensor cameras are widely used in various applications, such as aerospace and defense, automotive, and consumer electronics. With the emergence of high-resolution cameras, obtaining the best image quality is becoming a must-have requirement. So, there is a growing need to design and optimize each camera component considering image quality of the full system in the targeted application environment. Accurate modeling of such components can be challenging due to multiscale structures going from nanoscale photonics to macroscale optics. To mitigate the modeling problem, Ansys provides ray and wave optics tools to simulate and optimize the design of the different modules of the camera system (lens imaging system, nanoscale pixel structure, digital processing) in a virtual environment with different illuminations, scenes, and scenarios, and evaluate the quality of the whole camera system. During this presentation, we are going to demo how to use Ansys Optical solution for end-to-end virtual prototyping of CMOS Sensor camera. The camera lens system is designed with the optical design software Ansys Zemax OpticStudio. Then the lens system can be exported through the new Optical Design Exchange file format from Ansys Zemax OpticStudio to Ansys Speos for Stray Light analysis. An optical ROM (Reduced Order Model) of this lens system can also be exported to Ansys Speos, which provides fast yet accurate simulation while accounting for environmental conditions, including artificial and natural light sources. In parallel, photonic simulation with Ansys Lumerical FDTD and CHARGE solvers provides the quantum efficiency of the CMOS image sensor. Light exposure from the 3D scene through the lens system onto the sensor is combined with the quantum efficiency of the CMOS image sensor to generate raw image and final image based on the digital processing.
Sandra Gely
Senior Manager Application Engineering
Sandra Gely is a Senior Manager in Application Engineering team focusing on optical simulation solution at Ansys. She holds a Master’s Degree in Physics, Optical & Electronic Engineering from Institut d’Optique Graduate School, Paris, France. She joined Optis in 2014 and has taken various consulting and application engineering roles in Europe and in North America. After joining Ansys through Optis acquisition in 2018, she has been working closely with High Tech companies in North America to provide suitable simulation tools for their applications. She is now leading a team of Optical Application Engineers in Europe.
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
Virtual Drop Tests using Ansys LS-DYNA
David Tarazona Ramos
Lead Application Engineer
Virtual Drop Tests using Ansys LS-DYNA
11:20 AM - 11:40 AM EDT
In a world with a very high presence of personal devices and packages being constantly moved around, drop testing has become one of the most important stages of design and development of many products. A drop of any of these devices can lead to malfunctioning or damage so it is critical to analyze drop impacts to design better products and packaging. Engineers conduct drop tests in a controlled setting in different orientations to evaluate if their designed product can withstand drop impacts. With numerical simulations, engineers can have much better insight into the behavior and potential causes of failure in drop tests which enables them to take effective corrective measures early. Physical drop tests are expensive and often require a long preparation, making drop test simulations a very cost and time effective alternative to be incorporated into the design process. This presentation will cover some important aspects and recommendations for performing virtual drop tests using Ansys Workbench LS-DYNA including handling prestressing and multiple drop orientations.
David Tarazona Ramos works as Lead Application Engineer at Ansys. His main field of expertise is around explicit dynamic analysis with LS-DYNA, including vehicle crash, drop test, medical devices, or metal forming. Prior to Ansys he worked as a consulting simulation analyst and for Volvo Cars withing vehicle safety.
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
Real World Ports in High-Performance Interconnect Modeling
Scott McMorrow
Strategic Technologist
Real World Ports in High-Performance Interconnect Modeling
11:20 AM - 11:40 AM EDT
In this presentation, we will explore the use of various HFSS port types in signal integrity simulation of high-speed interconnects. Starting with a simple example, we will demonstrate the errors that can result from using different port types and show how wave ports can be utilized in non-traditional ways to improve modeling results and reduce overall error. We will also discuss how to configure wave ports for connector launch modeling. Join us to learn more about the practical application of HFSS port types in high-performance interconnect modeling.
Scott McMorrow
Strategic Technologist
Scott McMorrow currently serves as a Strategic Technologist for Samtec, Inc. As a consultant for years too numerous to mention, Scott has helped many companies develop high performance products, while training signal integrity engineers. Today he works for "the man," where he continues being a problem solver, a change agent and "betting his job" every day.
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
Optimize your Simulation with Ansys Speos and Ansys optiSLang
Alessia Fra
Senior Application Engineer
Sabrina Niemeyer
Application Engineer II
Optimize your Simulation with Ansys Speos and Ansys optiSLang
11:20 AM - 11:40 AM EDT
In this demonstration you will see how to create and simulate a lightguide with Speos using a colorimetric radiance map and an intensity map with a regulation check and publish parameters for optimization. The optimization will be done with optiSLang in two steps: sensitivity analysis: Demonstrate design exploration capabilities by performing a sensitivity study to identify essential input parameters and to get design understanding by creating metamodels showing the relationship between input and output parameters. optimization: Demonstrate optimization capabilities by performing multi-objective optimization based on metamodels followed by local and single-objective direct optimization to achieve the best possible design.
Alessia Fra
Senior Application Engineer
I am a multilingual engineer with 15 years experience in optical design, simulation, technical pre-sales and post-sales activities. I fluently speak English, Italian, French and Spanish. I have a Master Degree in Mechanical Engineering at Politecnico di Torino (Italy) with 1 year spent at Universidad Politécnica de Madrid ETSII (Spain). I am a yoga teacher.
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
Immersive User Experience with Ansys Fluent Web Interface
Balasubramanyam Sasanapuri
Lead Product Manager
Immersive User Experience with Ansys Fluent Web Interface
11:20 AM - 11:40 AM EDT
In this presentation you will see a modern, immersive web interface of Ansys Fluent that works from a web browser on any device (Desktop, laptop, tablet, mobile etc.) with any OS (Windows, Linux etc.). You will see powerful features of the web interface to monitor or post-process results, to interrupt or restart a simulation, to change setup of the case. One can connect and disconnect to a Fluent simulation running in batch mode or interactive mode on a cluster or workstation or cloud. You will see a live demonstration of the web interface after a short presentation of the capabilities.
Over the last two decades, Bala has assumed various roles within Ansys Customer Excellence organization, collaborating closely with clients across the US, Europe, China, Korea, Japan, and India, and moved to Product Management 4 years ago. Bala holds Master's Degree in Aerospace Engineering from the Indian Institute of Science, Bangalore.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
Best Practices for DEM-CFD Coupled Simulations Using Ansys Rocky and Ansys Fluent
Pedro Afonso
EMEA Fluids Lead Product Manager
Best Practices for DEM-CFD Coupled Simulations Using Ansys Rocky and Ansys Fluent
11:40 AM - 12:00 PM EDT
The simultaneous flow of fluids and particles is standard in many processes across multiple industries, and it is crucial to consider the fluid flow to obtain the particles’ correct behavior. Design, scale-up, and optimization of such processes require a deep understanding of the thermo-hydrodynamics of the system, determined by the particle-level interactions between the fluids, particles, and boundaries. When engineers need to assess particle-fluid interactions, they can create a multiphysics simulation by coupling CFD (Computational Fluid Dynamics) and DEM (Discrete Element Method) using Ansys Fluent and Ansys Rocky to predict real-world behavior. This presentation will show how to couple Ansys Rocky and Ansys Fluent for CFD-DEM simulations.
• Why CFD-DEM coupling?
• Fluent and Rocky coupling approach
• Industry application examples
Pedro Afonso
EMEA Fluids Lead Product Manager
Pedro Afonso is a EMEA Fluids Lead Product Manager based in the Ansys Iberia office in Spain. He holds a M.S. in Chemical Engineering from the Engineering University of Porto. Pedro has more than 15 years of experience dealing with CFD modeling ranging from multiphase & combustion to fluids related optimization.
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Best Practices in Turbomachinery Modeling
Wolfgang Bauer
Senior Manager Application Engineering
Best Practices in Turbomachinery Modeling
12:00 PM - 12:20 PM EDT
CFD is well established in the design and analysis of turbomachinery. From preliminary design to detailed design, an increasing level of flow detail is available for turbomachinery simulation models. A proper differentiation between numerical and model error is a key element for predictive simulation. This presentation provides an overview of available methods and demonstrates their value for specific use cases.
Wolfgang Bauer
Senior Manager Application Engineering
Wolfgang is a Senior Application Engineering Manager at Ansys with 30 years of experience in CFD, focusing on turbomachinery and reacting flow simulation processes today. Wolfgang has a PhD degree in gas turbine and flight propulsion and currently leads a team of expert CFD engineers in Europe.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
Multi-Physics object observing with radar, EOIR and the effects of STOP Analysis (Structural, Thermal Optical Performance Analysis) applied to the optical system.
Steven LaCava
Lead Application Engineer
Multi-Physics object observing with radar, EOIR and the effects of STOP Analysis (Structural, Thermal Optical Performance Analysis) applied to the optical system.
12:20 PM - 12:40 PM EDT
Mission level planning of the relative position between the object and observing systems, in both space and time. Modeling the optical performance of the flown system in a real-world simulation of potential conditions, while accounting for thermal, structural and fluid effects on the optical system.
Steven LaCava
Lead Application Engineer
Steven LaCava was with Zemax prior to the Ansys Acquisition. He specializes in optics and multi-physics projects. He has former experience with DoD & DoE projects at the University of Arizona, including micro satellite tracking, directed energy and he worked on one of the first real-time adaptive optic systems. Steven has also served on the board of the MITA/MDOT Industry Group the Digital Delivery Work Group, expanding the use of drones, photogrammetry and other modern optical tools for the civil engineering and construction industries. He helped re-write the MDOT spec book as a panelist for multiple sections, and he held a seat on the University of Michigan Safety in Engineering Group. Now Steven works as a Lead Application Engineer in the ACE organization with the government division of Ansys, AGI (Ansys Government Initiatives) focusing on Automotive and the Federal Aerospace and Defense industries.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
PyAnsys for Structural Mechanics Simulations
Pernelle Marone-Hitz
Lead Application Engineer
PyAnsys for Structural Mechanics Simulations
12:20 PM - 12:40 PM EDT
PyAnsys project is a collection of many Python packages for using Ansys products through an external Python workflow. It empowers users to seamlessly integrate simulation tasks into their Python workflows, enhance productivity, and unlock new dimensions in simulation-driven design. This presentation will give an overview of PyAnsys, with a focus on packages that are useful to engineers working in structural mechanics. Guidance will be provided on how to install PyAnsys and how to access the documentation and other useful resources. In the second part of the presentation, we will take a deeper dive into some specific packages, together with demonstrations: PyMAPDL, PyDPF-Core, PyMechanical, and PyDyna will be covered.
Pernelle Marone-Hitz is a structural engineer with a passion for using scripting to solve complex challenges. After a Master's degree and a PhD in Mechanical Engineering, she joined Ansys as an application engineer almost a decade ago. She specializes in helping Ansys users get the most out of structural simulation through scripting, through presales, technical support, consulting, mentoring, and training activities.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
Recent Advances in Complex CFD Pre-processing
Vivek Patil
Manager, Application Engineering
Recent Advances in Complex CFD Pre-processing
12:20 PM - 12:40 PM EDT
Recent advancements in complex CFD preprocessing have transformed the field, aiming to streamline processes, enhance accuracy, and enhance productivity. Here's a breakdown of key technologies: Advanced Meshing Techniques: Thin volume meshing has emerged as a game-changer, enabling the capture of intricate thin geometries. By refining mesh resolution in critical regions, simulations achieve higher accuracy. Additionally, the new 2D Workflow & Topology Meshing Workflow simplifies mesh generation, enhancing user experience and speeding up the process, particularly beneficial in Aerospace & Defence (A&D) applications. Rapid Octree Meshing for Automotive Applications: The introduction of Rapid Octree meshing is a breakthrough for Automotive fluid applications. This scalable solution leverages thousands of cores, drastically reducing pre-processing time to less than an hour while maintaining mesh quality. This new technology helps for good quality mesh to aid solver convergence, ensuring smoother simulation runs. Automation with Fluent Meshing / PyPrimeMesh: Automation and efficiency take center stage with PyPrimeMesh. This technology minimizes manual intervention, enabling users to generate high-quality meshes rapidly. The automated process significantly shortens turnaround times for CFD simulations, optimizing workflow efficiency. In summary, these recent advancements in complex CFD preprocessing technologies offer insights into cutting-edge techniques that streamline processes, enhance accuracy, and accelerate simulation workflows.
Vivek Patil
Manager, Application Engineering
Vivek brings over 17 years of experience as a Manager in Application Engineering at Ansys. His expertise lies in developing and implementing preprocessing simulation workflows. Vivek collaborates with key Automotive customers across the APAC region to establish best practices in Ansys preprocessing tools and workflows. Additionally, he has contributed significantly to preprocessing workflow development in the NA & EMEA region. Vivek is also deeply involved in working with major clients across India to implement optimal practices for Designer Simulation tools, focusing on design exploration and optimization. Vivek actively engages with the Product Development team to integrate global best practices and client enhancement requirements into Ansys preprocessing products.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
PyFluent Usability, Capabilities and 24R1 Updates
Ryan O'Connor
Lead Application Engineer
PyFluent Usability, Capabilities and 24R1 Updates
12:40 PM - 01:00 PM EDT
PyFluent, a cornerstone of the PyAnsys ecosystem, revolutionizes how users interact with Ansys Fluent by offering a Pythonic gateway to launch, interface with, and control Ansys Fluent sessions directly from any Python environment. Its integration with the broader PyAnsys libraries and external Python ecosystems opens up unparalleled opportunities for streamlined workflows and efficiency gains.
The recent updates in PyFluent, introduced alongside Fluent 2024R1, have marked a significant leap forward in enhancing its usability, capabilities, performance, and ease of learning. Discover the latest and most exciting features of PyFluent, learn the essentials to get started, and witness a compelling demonstration of PyFluent's capabilities in action.
Whether you're aiming to automate repetitive tasks, extend Fluent's functionality, or integrate CFD simulations with data analysis and machine learning pipelines, PyFluent offers the tools and flexibility needed to achieve your goals. Join us in exploring how PyFluent is shaping the future of CFD simulation, making it more dynamic, interactive, and integrated into the modern computational engineering landscape.
Ryan O’Connor is a Lead CFD Application Engineer at Ansys, and leads a team focused on fluids automation and customization. Ryan joined Ansys after earning his BASc in Mechanical Engineering from The University of Waterloo in 2005. Ryan provides support and services for Ansys CFD, Turbo, FSI tools, and automation using Ansys tools, such as PyFluent.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Automating system-level stray light analysis with Ansys Optics
Mina Nazari
Senior Application Engineer
Automating system-level stray light analysis with Ansys Optics
12:40 PM - 01:00 PM EDT
Stray light analysis is essential for the design of high-quality optical systems, to ensure that unwanted light reaching the sensor is minimized, and artifacts that degrade optical performance - such as lens flare – are mitigated. This article introduces a system-level approach for stray light analysis using Ansys Optics simulation tools, considering stray light from both optical and non-optical components. The article illustrates how these tools can be integrated with Ansys optiSLang for automated exploration and design optimization. The practical camera use-case highlights a seamless data exchange between Ansys Optics simulation tools. It employs a range of intuitive features, from Ansys Zemax OpticStudio's sequential ray tracing, extending to Ansys Speos ray path analysis, while leveraging HPC and Cloud Computing. The combined capabilities offer an efficient solution, streamlining collaboration and enabling optimized optical system designs.
Mina Nazari
Senior Application Engineer
Mina Nazari Ansys, Inc. (United States) Mina Nazari is a Senior Application Engineering at Ansys, with a focus on the optical simulation product line in high-tech and autonomous vehicle industries. Mina received her Ph.D. in Electrical Engineering from Boston University in 2019. Before joining Ansys, she worked in the architectural LED lighting field at Luminii, as well as in the LiDAR industry at Aptiv. Mina has authored several peer-reviewed articles on Optics and photonics field and has spoken at several symposia and conferences during the past decade.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Aggressor Aware Design for Improved IR-Drop Results
Vlad Berlin
Physical Design Engineer
Aggressor Aware Design for Improved IR-Drop Results
12:40 PM - 01:00 PM EDT
The move to advanced technodes has many benefits, but it has created a challenge that has been previously neglectable; the aggression of neighbouring cells that are linked through the power grid – this link through the grid is known as cross-impedance. The complex grid structure that designed with pillars create cross-impedance that stretch beyond cells that share same track. Traditionally the focus of IRdrop analyses was mainly 2 aspects: i) improving self-drop –optimizing the cell’s resistive path from its power pins to the bumps. ii) handling simultaneous switching cells that share a power\ground track. To improve turn-around-time and reduce IRdrop related ECO cycles, we can tackle the problem from its origin – we can leverage Ansys Redhawk-SC platform to gather and calculate the aggression impact radius for all the cells in the library. The gathered data can be transformed to custom placement rules that will maximize cell usage while reducing overall dynamic IRdrop. At later mature design stages, we can utilize Ansys Redhawk-SC platform to combine aggressor cells in the design with their slack to a small and effective list of ECO’s that will have most overall design IRdrop improvements while having minimal impact on timing due to slack margin.
Vlad Berlin
Physical Design Engineer
A physical design engineer and leading the power integrity activity at Retym. I have worked as a Senior application engineer at Ansys, and before that I was an SI\PI engineer at Intel MIG group.
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