Must-read Papers on Physics-Informed Neural Networks.
☆1,481Dec 8, 2023Updated 2 years ago
Alternatives and similar repositories for PINNpapers
Users that are interested in PINNpapers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,800Feb 11, 2026Updated 2 months ago
- A library for scientific machine learning and physics-informed learning☆4,106Mar 1, 2026Updated 2 months ago
- Investigating PINNs☆759Aug 13, 2021Updated 4 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆714May 20, 2024Updated last year
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆375Jul 5, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Physics-informed neural networks package☆347Jul 20, 2022Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆276Jan 28, 2021Updated 5 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆418Feb 11, 2026Updated 2 months ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆877Feb 8, 2026Updated 2 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆247Oct 21, 2024Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆293Oct 12, 2021Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆195Apr 7, 2024Updated 2 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆666Updated this week
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆262Feb 1, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆258Oct 14, 2021Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆162Jul 16, 2020Updated 5 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆109Apr 15, 2022Updated 4 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆366Dec 20, 2023Updated 2 years ago
- ☆1,094Apr 9, 2026Updated 3 weeks ago
- ☆535Apr 1, 2025Updated last year
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆539Mar 26, 2026Updated last month
- Physics-Informed Neural networks for Advanced modeling☆738Updated this week
- A place to share problems solved with SciANN☆309Nov 6, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Characterizing possible failure modes in physics-informed neural networks.☆153Nov 18, 2021Updated 4 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆173Aug 31, 2025Updated 8 months ago
- ☆412Dec 3, 2022Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,119Mar 30, 2026Updated last month
- Physics-informed neural networks with hard constraints for inverse design☆156Nov 21, 2021Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆91Aug 26, 2025Updated 8 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆78Feb 1, 2023Updated 3 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,192Apr 23, 2026Updated last week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆140Oct 24, 2025Updated 6 months ago
- physics-informed neural network for elastodynamics problem☆162Jan 20, 2022Updated 4 years ago
- ☆420Nov 14, 2025Updated 5 months ago
- PINN in solving Navier–Stokes equation☆133Jun 7, 2020Updated 5 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆211Jul 16, 2020Updated 5 years ago
- PINN program for computational mechanics☆141Apr 1, 2024Updated 2 years ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆796Jun 25, 2022Updated 3 years ago