chen-yingfa / pinn-torchLinks
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
☆132Updated 3 months 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.☆159Updated 5 years ago
- PINN in solving Navier–Stokes equation☆125Updated 5 years ago
- ☆117Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆190Updated last year
- ☆199Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆98Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆107Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆270Updated 4 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆206Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆58Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆260Updated 3 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆168Updated last year
- ☆196Updated last year
- Implementation of PINNs in TensorFlow 2☆81Updated last month
- Basic implementation of physics-informed neural network with pytorch.☆87Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆263Updated 5 years ago
- physics-informed neural network for elastodynamics problem☆153Updated 4 years ago
- ☆168Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆241Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆69Updated 4 months ago
- ☆241Updated 4 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆92Updated last year
- MIONet: Learning multiple-input operators via tensor product☆44Updated 3 years ago
- This is the code of my master thesis.☆183Updated 9 months ago
- ☆110Updated 4 years ago
- hPINN: Physics-informed neural networks with hard constraints☆153Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆87Updated 5 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 5 years ago