A pytorch implementaion of physics informed neural networks for two dimensional NS equation
☆198Apr 7, 2024Updated 2 years ago
Alternatives and similar repositories for PINN-for-NS-equation
Users that are interested in PINN-for-NS-equation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆97Apr 4, 2024Updated 2 years ago
- PINN in solving Navier–Stokes equation☆134Jun 7, 2020Updated 6 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆35Apr 7, 2024Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆280Jan 28, 2021Updated 5 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆43Jun 24, 2022Updated 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.
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆28May 17, 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…☆226Feb 21, 2023Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆162Jul 16, 2020Updated 5 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆62May 16, 2024Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆100Sep 26, 2022Updated 3 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,504Dec 8, 2023Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆143Oct 24, 2025Updated 7 months ago
- Physics-informed neural networks for two-phase flow problems☆77Oct 2, 2025Updated 8 months ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆380Jul 5, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- PyTorch Implementation of Physics-informed Neural Networks☆721May 20, 2024Updated 2 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆34Aug 11, 2023Updated 2 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Apr 14, 2023Updated 3 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆28Oct 11, 2019Updated 6 years ago
- ☆31Oct 21, 2024Updated last year
- ☆217Feb 16, 2024Updated 2 years ago
- The Simulations of Navier-Stokes Equation in 2D and 3D.☆39Jul 15, 2024Updated last year
- This Python script solves the Navier-Stokes equations using Physics-Informed Neural Network. This approach enables the modeling of fluid …☆17Mar 19, 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.
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- ☆46Jul 31, 2022Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆182May 30, 2026Updated 2 weeks ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆323Jan 23, 2024Updated 2 years ago
- ☆434Nov 14, 2025Updated 7 months ago
- ☆22Sep 21, 2022Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆297Oct 12, 2021Updated 4 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆111Apr 15, 2022Updated 4 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Physics Informed Neural Network (PINN) for the wave equation.☆213Jul 16, 2020Updated 5 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆427Feb 11, 2026Updated 4 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆30Nov 26, 2023Updated 2 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆673May 31, 2026Updated 2 weeks ago
- ☆48May 18, 2022Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆248Oct 21, 2024Updated last year
- ☆12Dec 13, 2024Updated last year