JinshuaiBai / LSWR_loss_function_PINNLinks
A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics
☆57Updated last year
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
Sorting:
- PINN program for computational mechanics☆116Updated last year
- Physics-guided neural network framework for elastic plates☆42Updated 3 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆65Updated last month
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 11 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆20Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆70Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆75Updated last year
- ☆19Updated last year
- ☆39Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago
- Physics-informed neural networks for two-phase flow problems☆63Updated 2 months ago
- ☆54Updated 2 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago
- ☆45Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆143Updated 3 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆29Updated last year
- PINN in solving Navier–Stokes equation☆106Updated 5 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆50Updated 4 years ago
- ☆40Updated last year
- ☆39Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- Physics-Informed Neural Network☆85Updated last year
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆180Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆80Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year