hojunkim13 / PINNsLinks
Basic implementation of physics-informed neural network with pytorch.
☆70Updated 2 years ago
Alternatives and similar repositories for PINNs
Users that are interested in PINNs are comparing it to the libraries listed below
Sorting:
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- PINN program for computational mechanics☆114Updated last year
- PINN in solving Navier–Stokes equation☆105Updated 5 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆146Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 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
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 10 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆67Updated 3 years ago
- POD-PINN code and manuscript☆51Updated 7 months ago
- physics-informed neural network for elastodynamics problem☆142Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆34Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆73Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- ☆50Updated 6 months ago
- DeepXDE and PINN☆114Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆148Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- 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
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆39Updated last week
- ☆39Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆56Updated 2 months ago