This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.
MIT License
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Example problems in Physics informed neural network in JAX
Solving Inverse Physics Problems with Score Matching
Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil...
Diffusion properties at every time step
Welcome to the Physics-based Deep Learning Book (v0.2)
Differentiable, Hardware Accelerated, Molecular Dynamics
Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
This repository contains implementations and illustrative code to accompany DeepMind publications