Example problems in Physics informed neural network in JAX
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Updated
Aug 23, 2023 - Jupyter Notebook
Example problems in Physics informed neural network in JAX
Implementation of PhysGNN (Accepted at NeurIPS2022)
Physics-based neural network with Sine Activation Function
Covering 3D computer vision concepts and implementations from state-of-the-art papers and architectures
3D physics-based AI surrogate reservoir model for fast simulation, forecasting and many-query analysis in gas and gas-condensate reservoirs.
Experiments on Physics based DL. Using physics equations to guide the training along with supervised loss.
Machine Learning Research to Advance Simulation Science
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