PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
☆143Oct 24, 2025Updated 8 months ago
Alternatives and similar repositories for pinn-torch
Users that are interested in pinn-torch 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 neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆162Jul 16, 2020Updated 5 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆201Apr 7, 2024Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆44Jun 24, 2022Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆282Jan 28, 2021Updated 5 years ago
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆28May 17, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PINN in solving Navier–Stokes equation☆134Jun 7, 2020Updated 6 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆435Feb 11, 2026Updated 4 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆248Oct 21, 2024Updated last year
- This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple meth…☆11Dec 3, 2021Updated 4 years ago
- ☆14Dec 9, 2024Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆283Oct 25, 2025Updated 8 months ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆22Jun 19, 2024Updated 2 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,515Dec 8, 2023Updated 2 years ago
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆18Apr 26, 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.
- PINNs for 2D Incompressible Navier-Stokes Equation☆62May 16, 2024Updated 2 years ago
- ☆20May 25, 2024Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆81Feb 1, 2023Updated 3 years ago
- ☆205Mar 16, 2023Updated 3 years ago
- ☆49May 18, 2022Updated 4 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆722May 20, 2024Updated 2 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆22Jun 20, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Hidden Fluid Mechanics in PyTorch☆22Nov 6, 2023Updated 2 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆21Nov 18, 2024Updated last year
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆13May 3, 2021Updated 5 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆98Apr 4, 2024Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆228Feb 21, 2023Updated 3 years ago
- Implementation of the deep operator network in pytorch, with examples of solving Differential Equations☆17Mar 30, 2024Updated 2 years ago
- ☆1,111Jun 29, 2026Updated last week
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Dec 4, 2023Updated 2 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.
- Physics-informed neural networks for two-phase flow problems☆77Oct 2, 2025Updated 9 months ago
- Investigating PINNs☆774Aug 13, 2021Updated 4 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆298Oct 12, 2021Updated 4 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆58Nov 20, 2022Updated 3 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆922Feb 8, 2026Updated 5 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆35Apr 7, 2024Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago