idrl-lab / PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
☆1,007Updated last year
Alternatives and similar repositories for PINNpapers:
Users that are interested in PINNpapers are comparing it to the libraries listed below
- PyTorch Implementation of Physics-informed Neural Networks☆566Updated 7 months ago
- Investigating PINNs☆542Updated 3 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆492Updated 2 months ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆353Updated 7 months ago
- ☆841Updated this week
- A library for scientific machine learning and physics-informed learning☆2,875Updated last week
- Learning nonlinear operators via DeepONet☆571Updated 2 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆274Updated 6 months ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆4,172Updated 7 months ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆266Updated 5 months ago
- ☆311Updated 2 years ago
- ☆394Updated 10 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆812Updated 2 weeks ago
- Physics-informed neural networks package☆284Updated 2 years ago
- Physics-Informed Neural networks for Advanced modeling☆417Updated this week
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆255Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆198Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆346Updated last month
- DeepONet & FNO (with practical extensions)☆253Updated last year
- A place to share problems solved with SciANN☆263Updated last year
- ☆248Updated 2 months ago
- Hidden Fluid Mechanics☆311Updated last year
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆717Updated 6 months ago
- Using graph network to solve PDEs☆365Updated last year
- Deep learning for Engineers - Physics Informed Deep Learning☆328Updated last year
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆212Updated 2 months ago
- ☆187Updated 3 years ago
- ☆186Updated 5 months ago
- Physics-informed neural network for solving fluid dynamics problems☆207Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆127Updated 3 years ago