JinshuaiBai / LSWR_loss_function_PINN
A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics
☆54Updated 9 months ago
Alternatives and similar repositories for LSWR_loss_function_PINN:
Users that are interested in LSWR_loss_function_PINN are comparing it to the libraries listed below
- PINN program for computational mechanics☆106Updated 11 months ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆36Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆68Updated 11 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated last year
- physics-informed neural network for elastodynamics problem☆132Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆132Updated 11 months ago
- ☆37Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆55Updated 3 years ago
- PINN in solving Navier–Stokes equation☆93Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆51Updated 4 years ago
- ☆38Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆17Updated 2 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆36Updated last week
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆65Updated 2 years ago
- DeepXDE and PINN☆102Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆28Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆63Updated 3 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- ☆39Updated last year
- Implementation of PINNs in TensorFlow 2☆75Updated last year
- Physics-informed neural networks for two-phase flow problems☆52Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆84Updated 2 years ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆49Updated 3 years ago
- This is the code of my master thesis.☆116Updated last month
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆22Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆63Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆55Updated 3 years ago