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

Offered By: Simons Institute via YouTube

Tags

Deep Learning Courses Artificial Intelligence Courses Machine Learning Courses Fluid Dynamics Courses Scientific Computing Courses Numerical Methods Courses Molecular Dynamics Courses Computational Physics Courses Computational Chemistry Courses

Course Description

Overview

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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

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