Machine learning is once again taking center stage in this week’s Fish Fry podcast! Rod Metcalfe (Cadence Design Systems) joins me to discuss the role of machine learning in the future of chip design, why implementation teams are having a hard time keeping up with today’s advanced node designs, and how advancements in computer science are helping usher in a new age of intelligent chip design. I also take a closer look at how a team of researchers is using machine learning to help us more accurately predict how new materials deform, fail and even transfer heat at the atomic scale.

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Links for July 30, 2021

More information about Cerebrus Intelligent Chip Explorer

New Framework Applies Machine Learning to Atomistic Modeling (Northwestern University)

Multi-objective parametrization of interatomic potentials for large deformation pathways and fracture of two-dimensional materials (Whitepaper)