5 Day Mini-Course on: Physics Informed Machine Learning with Pytorch and Julia
Event
5 Day Mini-Course on: Physics Informed Machine Learning with Pytorch and Julia
Location: Hybrid: Zoom, ENR2, S395 and Math, 402
Presenter: Arvind Mohan and Nicholas Lubbers, Computational, Computer, and Statistical Division, Los Alamos National Laboratory
Day 3: Physical Symmetries and Atomistic Machine Learning,
Place: ENR2, S395 and Zoom
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