Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation
☆44Jun 24, 2022Updated 4 years ago
Alternatives and similar repositories for Navier_Stokes_cylinder2D
Users that are interested in Navier_Stokes_cylinder2D are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆62May 16, 2024Updated 2 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
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆201Apr 7, 2024Updated 2 years ago
- ☆14Aug 22, 2025Updated 10 months ago
- 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.
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11May 23, 2024Updated 2 years ago
- PINN in solving Navier–Stokes equation☆134Jun 7, 2020Updated 6 years ago
- 本项目利用pytorch实现了一个简易的模块化DeepONet,凭此可以快速的实现一些简易的DeepONet。☆18Jul 2, 2025Updated last year
- The first open-source repository for Scientific Machine Learning (PINNs, PIELM, RFM, Neural Operators) via Vibe Coding. JAX-GPU implement…☆108Jul 1, 2026Updated last week
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆98Apr 4, 2024Updated 2 years ago
- The Simulations of Navier-Stokes Equation in 2D and 3D.☆39Jul 15, 2024Updated last year
- ☆13May 16, 2023Updated 3 years ago
- ☆49May 18, 2022Updated 4 years ago
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆51Jun 11, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆54Sep 13, 2022Updated 3 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆282Jan 28, 2021Updated 5 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆143Oct 24, 2025Updated 8 months ago
- Codes for finite element method☆35May 30, 2026Updated last month
- ☆205Mar 16, 2023Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆162Jul 16, 2020Updated 5 years ago
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆44Nov 11, 2024Updated last year
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆12Dec 12, 2023Updated 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.
- 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
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆34Dec 7, 2025Updated 7 months ago
- ☆11Jan 7, 2025Updated last year
- Physics informed neural network (PINN) for the 1D Heat equation☆23Nov 9, 2023Updated 2 years ago
- ☆18Aug 13, 2024Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆46Sep 30, 2022Updated 3 years ago
- Code to train a Multiple-Input Fourier Neural Operator (MIFNO) to predict the solution of 3D source-dependent Partial Differential Equati…☆14Jan 11, 2026Updated 5 months ago
- Applied project based on PINNs. The physical problem is sound propagation underwater&Helmholtz equation.☆17Oct 14, 2021Updated 4 years ago
- Basic implementation of physics-informed neural network with pytorch.☆99Sep 26, 2022Updated 3 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.
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 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
- Hidden Fluid Mechanics in PyTorch☆22Nov 6, 2023Updated 2 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆722May 20, 2024Updated 2 years ago
- Hybrid finite-volume solver based on the lattice-Boltzmann & discrete-velocity methods for the Couette problem☆11Oct 3, 2019Updated 6 years ago
- Solves RANS-equations for fully developed turbulent channel flow with variable properties☆45Nov 8, 2023Updated 2 years ago
- A Warp Drive for Neural PDE Solvers☆35Jun 3, 2026Updated last month