physics-informed-neural-networks
Here are 314 public repositories matching this topic...
Language:All
Sort:Most stars
PDEBench: An Extensive Benchmark for Scientific Machine Learning
- Updated
May 15, 2025 - Python
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
- Updated
Jul 27, 2025 - Python
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
- Updated
Jun 13, 2025 - Python
Physics-Informed Neural networks for Advanced modeling
- Updated
Dec 16, 2025 - Python
Code accompanying my blog post: So, what is a physics-informed neural network?
- Updated
Mar 22, 2022 - Jupyter Notebook
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
- Updated
Nov 27, 2025 - Python
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
- Updated
Jul 5, 2024 - Jupyter Notebook
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
- Updated
Oct 21, 2024 - Python
This repository containts materials for End-to-End AI for Science
- Updated
Dec 16, 2025 - Jupyter Notebook
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
- Updated
Feb 21, 2023 - Python
A toolkit with data-driven pipelines for physics-informed machine learning.
- Updated
Sep 17, 2025 - Python
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
- Updated
Sep 17, 2024 - Python
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
- Updated
Apr 7, 2024 - Python
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
- Updated
Aug 31, 2025 - Jupyter Notebook
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
- Updated
Oct 28, 2025 - Jupyter Notebook
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
- Updated
May 23, 2024 - Python
Introductory workshop on PINNs using the harmonic oscillator
- Updated
Nov 19, 2025 - Jupyter Notebook
A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks
- Updated
Jan 28, 2024 - Python
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
- Updated
Mar 1, 2022 - Python
Generative Pre-Trained Physics-Informed Neural Networks Implementation
- Updated
Aug 26, 2025 - Python
Improve this page
Add a description, image, and links to thephysics-informed-neural-networks topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thephysics-informed-neural-networks topic, visit your repo's landing page and select "manage topics."