Deep Learning and Numerical Methods Intersections for Improving Molecular and Fluid Dynamics

Deep Learning and Numerical Methods Intersections for Improving Molecular and Fluid Dynamics

Explore the intersections of deep learning and numerical methods to enhance molecular and fluid dynamics in this hour-long lecture by Aditi Krishnapriyan from UC Berkeley. Gain insights into how artificial intelligence is strengthening its bond with scientific disciplines, particularly in the realm of computational physics and chemistry. Discover innovative approaches that combine machine learning techniques with traditional numerical methods to improve simulations and predictions in complex molecular and fluid systems.