AI for Materials on Demand: Accelerating Discovery
Discusses how machine learning bridges quantum mechanics and classical simulations to accelerate materials discovery, addressing dataset, model, and optimization challenges.
Professor of Materials Design
Self-contained public lectures, keynote addresses, and research seminars.
Discusses how machine learning bridges quantum mechanics and classical simulations to accelerate materials discovery, addressing dataset, model, and optimization challenges.