Shengfeng233 / PINN-for-NS-equationLinks
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
☆146Updated 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☆105Updated 5 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆142Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆178Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆229Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆148Updated 4 years ago
- PINN program for computational mechanics☆114Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆73Updated last year
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆103Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆67Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- ☆43Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆70Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆203Updated 6 months ago
- Physics-informed neural networks for two-phase flow problems☆63Updated last month
- DeepXDE and PINN☆114Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- ☆39Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆92Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆232Updated 3 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- ☆109Updated 4 months ago
- ☆166Updated last year
- DeepONet & FNO (with practical extensions)☆306Updated last year
- 复现CICP论文提出的几种改进PINN性能的方法☆20Updated last year