Shengfeng233 / PINN-for-NS-equationLinks
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
☆157Updated 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☆109Updated 5 years ago
- Physics-informed neural network for solving fluid dynamics problems☆239Updated 4 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆184Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆88Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆151Updated 5 years ago
- 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 for elastodynamics problem☆146Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆108Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆73Updated 4 years ago
- PINN program for computational mechanics☆118Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆50Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆245Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆77Updated 2 years ago
- DeepXDE and PINN☆124Updated 3 years ago
- ☆46Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆152Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆97Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆216Updated 8 months ago
- Physics-informed neural networks for two-phase flow problems☆66Updated 3 months ago
- A place to share problems solved with SciANN☆286Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆34Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆72Updated 2 years ago
- ☆40Updated 3 years ago
- This is the code of my master thesis.☆141Updated 4 months ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆318Updated 2 years ago
- ☆362Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆27Updated 3 years ago
- Physics-Informed Neural Network☆87Updated last year