saniaki / sequential_PINNLinks
Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems
☆55Updated 4 years ago
Alternatives and similar repositories for sequential_PINN
Users that are interested in sequential_PINN are comparing it to the libraries listed below
Sorting:
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- PINN program for computational mechanics☆114Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆67Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- PINN in solving Navier–Stokes equation☆105Updated 5 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆73Updated last year
- physics-informed neural network for elastodynamics problem☆142Updated 3 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆39Updated last week
- 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
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Physics-Informed Neural Network☆85Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆34Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- Physics-informed neural networks for two-phase flow problems☆63Updated last month
- 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
- POD-PINN code and manuscript☆51Updated 7 months 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
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 10 months ago
- Physics-guided neural network framework for elastic plates☆40Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆92Updated 3 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆20Updated 2 years ago