Deep Learning and Numerical Methods Intersections for Improving Molecular and Fluid Dynamics
Offered By: Simons Institute via YouTube
Course Description
Overview
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.
Syllabus
Deep learning and numerical methods intersections for improving molecular and fluid dynamics
Taught by
Simons Institute
Related Courses
The Finite Element Method for Problems in PhysicsUniversity of Michigan via Coursera Computational Physics
Indian Institute of Science Education and Research, Pune via Swayam Manipulate Coulomb's Law Concepts using Wolfram notebook
Coursera Project Network via Coursera Lagrangian Coherent Structures in Unsteady Fluids with Finite Time Lyapunov Exponents
Steve Brunton via YouTube Changing Physics Education with Julia
The Julia Programming Language via YouTube