Must-read Papers on Physics-Informed Neural Networks.
☆1,557Dec 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☆6,228Feb 11, 2026Updated 8 months ago
- Investigating PINNs☆791Aug 13, 2021Updated 5 years ago
- A library for scientific machine learning and physics-informed learning☆4,492Aug 18, 2026Updated 2 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆723May 20, 2024Updated 2 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆382Jul 5, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Physics-informed neural networks package☆348Jul 20, 2022Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆294Jan 28, 2021Updated 5 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆962Feb 8, 2026Updated 8 months ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆459Jul 24, 2026Updated 3 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆301Oct 12, 2021Updated 5 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆686Sep 12, 2026Updated last month
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆212Apr 7, 2024Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆165Jul 16, 2020Updated 6 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆253Oct 21, 2024Updated 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.
- ☆1,127Updated this week
- Physics-Informed Neural networks for Advanced modeling☆800Updated this week
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆270Feb 1, 2023Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- ☆273Oct 14, 2021Updated 5 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆187May 30, 2026Updated 5 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆581May 29, 2026Updated 5 months ago
- ☆559Apr 1, 2025Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆115Apr 15, 2022Updated 4 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.
- A place to share problems solved with SciANN☆311Nov 6, 2023Updated 2 years ago
- ☆433Dec 3, 2022Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆268Nov 30, 2023Updated 2 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,237Updated this week
- ☆79Nov 15, 2022Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆152Nov 18, 2021Updated 4 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,223Mar 30, 2026Updated 7 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆82Feb 1, 2023Updated 3 years ago
- Physics-informed neural networks with hard constraints for inverse design☆165Nov 21, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆96Aug 26, 2025Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆100Apr 4, 2024Updated 2 years ago
- PINN program for computational mechanics☆154Apr 1, 2024Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆164Jan 20, 2022Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆147Oct 24, 2025Updated last year
- DeepXDE and PINN☆158May 20, 2022Updated 4 years ago
- ☆446Nov 14, 2025Updated 11 months ago