chen-yingfa / pinn-torchLinks
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
☆105Updated 2 years ago
Alternatives and similar repositories for pinn-torch
Users that are interested in pinn-torch are comparing it to the libraries listed below
Sorting:
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆149Updated 5 years ago
- PINN in solving Navier–Stokes equation☆106Updated 5 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆93Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆152Updated last year
- 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
- ☆111Updated 5 months ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆81Updated 2 years ago
- DeepONet & FNO (with practical extensions)☆312Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆233Updated 4 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆236Updated 3 years ago
- ☆138Updated 8 months ago
- Basic implementation of physics-informed neural network with pytorch.☆71Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆201Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆48Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆207Updated 7 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆75Updated last year
- Original implementation of fast PINN optimization with RBA weights☆57Updated 2 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- ☆167Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- ☆214Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆143Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- ☆97Updated 3 years ago
- This is the code of my master thesis.☆137Updated 3 months ago
- ☆145Updated 3 years ago
- ☆50Updated 7 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆86Updated 4 years ago