Shengfeng233 / PINN-for-turbulence
A pytorch implementation of several approaches using PINN to slove turbulent flow
☆63Updated 10 months ago
Alternatives and similar repositories for PINN-for-turbulence:
Users that are interested in PINN-for-turbulence are comparing it to the libraries listed below
- Physics-informed neural networks for two-phase flow problems☆51Updated 2 years ago
- PINN in solving Navier–Stokes equation☆88Updated 4 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆20Updated 2 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆29Updated 10 months ago
- ☆62Updated 3 months ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆129Updated 10 months ago
- ☆35Updated 2 years ago
- ☆38Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆62Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆28Updated 2 years ago
- PINN program for computational mechanics☆100Updated 11 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆64Updated 2 years ago
- ☆12Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆67Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆50Updated 4 years ago
- POD-PINN code and manuscript☆47Updated 3 months ago
- ☆43Updated 2 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆26Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆25Updated last year
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆40Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆53Updated 9 months ago
- Basic implementation of physics-informed neural network with pytorch.☆59Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆41Updated 9 months ago
- ☆35Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆22Updated last month
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆32Updated 8 months ago
- MIONet: Learning multiple-input operators via tensor product☆31Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆89Updated 2 years ago