itsjacobhere / PINN
Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations
☆16Updated 2 years ago
Alternatives and similar repositories for PINN:
Users that are interested in PINN are comparing it to the libraries listed below
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆50Updated 4 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆26Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆65Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆51Updated 2 years ago
- PINN program for computational mechanics☆97Updated 10 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆63Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆57Updated 2 years ago
- PINN in solving Navier–Stokes equation☆86Updated 4 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆27Updated 3 years ago
- ☆42Updated 2 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆62Updated 10 months ago
- POD-PINN code and manuscript☆47Updated 3 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆62Updated 3 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆34Updated 2 weeks ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆28Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆126Updated 10 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆53Updated 8 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- DeepXDE and PINN☆98Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆83Updated last year
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆128Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆34Updated 2 years ago
- ☆33Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆82Updated 4 years ago
- Implementation of PINNs in TensorFlow 2☆74Updated last year
- ☆34Updated 2 years ago
- ☆38Updated 2 years ago