Code accompanying my blog post: So, what is a physics-informed neural network?

PyTorch Implementation of Physics-informed Neural Networks

Investigating PINNs

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.

resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI

Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)

Physics-Informed Neural Networks Trained with Particle Swarm Optimization

Using NVIDIA modulus for airfoil optimizations at different angles.

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs with JAX 📓 Check out our various notebooks to get started ⚠️ Mirror repository of jinns (development happens on Gitlab)

A physics-informed deep learning architecture for inferring bubble dynamics

Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow

A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.

iHealth workshop about applications of physics-informed neural networks (PINNs)

Physics-informed neural networks (PINNs)