Mini-Course on: Physics Informed Machine Learning with Pytorch and Julia

5 Day Mini-Course on: Physics Informed Machine Learning with Pytorch and Julia

Instructors: Arvind Mohan and Nicholas Lubbers, Computational, Computer, and Statistical Division, Los Alamos National Laboratory

Day 3: Physical Symmetries and Atomistic Machine Learning

            0 - Symmetry, Invariance, and Equivariance with Graph Neural Networks

            1 - Example Notebooks: Learning Potential Energy Surfaces 

            2 - Code walkthrough: Writing custom GPU kernels with Numba

            3 - Code walkthrough: Cross-language integration: Pytorch to C++ and Julia

Zoom:            https://arizona.zoom.us/j/83738249833   Passcode: applied