Day 2 at the #Semiconductor Digital Twins Workshop continues to dive deeper into advanced semiconductor process modeling with digital twins and explore GenAI/AI-driven innovations in simulation and real-time replication.
🌟 Catch the key takeaways from today’s presentations!
🎤 Umesh Kelkar, Applied Materials
Covered recent advancements in accelerated computing, artificial intelligence and physics-based modeling making the vision of semiconductor equipment and process digital twins possible.
🎤 Prith Bannerjee, Ansys
Discussed AI Driven Digital twins on the Industrial Metaverse that combine AI/ML based analytics and physics-based simulation to build digital twins that are very accurate, require less training data, and drive high operational efficiency.
🎤 Xi-Wei Lin, Synopsys Inc
Presented AI and physics-based models for technology development.
🎤 Rebecca Routson, CHIPS Metrology
Discussed the CHIPS Metrology Program vison, mission, and goal.
🎤 Amit Lal, Cornell University
Dived into Digital Twin flows using AI/ML applied to ferroelectric memory.
🎤 John Maculley, Dassault Systèmes
Explored the transformative potential of virtual twins in Fabrication Technology Co-Optimization (FTCO)™ to enhance semiconductor yield, reduce defect density, and streamline manufacturability.
🎤 Kamaljeet Ghotra, PDF Solutions
Discussed GenAI’s use in Digital Twins and how Gen Ais transformation impact on the Semi value chain.
🎤 Peter Lendermann, D-SIMLAB Technologies
Dived into discussing cross-fertilization between digital twins and AI techniques for capacity planning and WIP flow optimization in semiconductor fabs.
🎤 Kiran Karunakaran, VIA Automation
Discussed developing explainable digital twins for semiconductor industry using GenAI, knowledge graphs and ML techniques.
🎤 Mark Huntington, PhysicsX
Introduced the role of real-time digital twins powered by physics-based AI in revolutionizing recipe development and wafer performance.
🎤 Becky Kelderman, Rockwell Automation
Discussed how Rockwell is advancing industrial data architectures and models for AI in process digital twins.
🎤 Mithun Kamat, McKinsey & Company
Discussed how rewiring organizations for AI / Digital twin with a business-backed view of successful implementation and challenges in adoption of Digital twins in the semiconductor industry
Many thanks to our panel moderators – Pushkar Apte, SEMI and Mithun Kamat, McKinsey & Company along with our sponsors Sentient , Seeq Corporation, Dassault Systèmes , INFICON, PhysicsX, and AirV Labs!
#DigitalTwins #SmartManufacturing #Industry4.0