Shengfeng233 / PINN-for-NS-equationLinks
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
☆152Updated last year
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
Sorting:
- PINN in solving Navier–Stokes equation☆106Updated 5 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆81Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆233Updated 4 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆180Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆75Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆149Updated 5 years ago
- DeepXDE and PINN☆121Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆143Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆105Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆70Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- ☆45Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆93Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆71Updated 2 years ago
- ☆39Updated 2 years ago
- PINN program for computational mechanics☆116Updated last year
- A place to share problems solved with SciANN☆283Updated last year
- DeepONet & FNO (with practical extensions)☆312Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- ☆51Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆236Updated 3 years ago
- Physics-informed neural networks for two-phase flow problems☆63Updated 2 months ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆316Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆207Updated 7 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- This is the code of my master thesis.☆137Updated 3 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- ☆354Updated 2 years ago