chen-yingfa / pinn-torchLinks
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
☆108Updated 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:
- PINN in solving Navier–Stokes equation☆108Updated 5 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆157Updated last year
- Basic implementation of physics-informed neural network with pytorch.☆75Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆97Updated 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
- 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 pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆243Updated 3 years ago
- ☆112Updated 6 months ago
- Original implementation of fast PINN optimization with RBA weights☆58Updated 4 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆152Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆213Updated 8 months ago
- ☆172Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆87Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆80Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆27Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆50Updated 2 years ago
- ☆147Updated 10 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆51Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆206Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆237Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- ☆221Updated 3 years ago
- This is the code of my master thesis.☆141Updated 4 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- ☆147Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆318Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆73Updated 4 years ago