nguyenkhoa0209 / pinns_tutorialLinks
Tutorials for Physics-Informed Neural Networks
☆73Updated last year
Alternatives and similar repositories for pinns_tutorial
Users that are interested in pinns_tutorial are comparing it to the libraries listed below
Sorting:
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Basic implementation of physics-informed neural networks for solving differential equations☆89Updated 6 months ago
- Original implementation of fast PINN optimization with RBA weights☆56Updated 2 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆232Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆148Updated 4 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 10 months ago
- ☆134Updated 8 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆42Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- gPINN: Gradient-enhanced physics-informed neural networks☆92Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆144Updated 5 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆197Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- PINN in solving Navier–Stokes equation☆105Updated 5 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆31Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- ☆97Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆146Updated last year
- Basic implementation of physics-informed neural network with pytorch.☆70Updated 2 years ago
- ☆166Updated last year
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆104Updated 2 years ago
- ☆128Updated 2 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆312Updated 11 months ago
- Physics-informed neural network for solving fluid dynamics problems☆229Updated 4 years ago
- Physics-informed neural networks package☆310Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆142Updated 3 years ago
- DeepXDE and PINN☆114Updated 3 years ago