JinshuaiBai / LSWR_loss_function_PINN
A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics
☆50Updated 7 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☆95Updated 9 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆61Updated 9 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆54Updated 3 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- PINN in solving Navier–Stokes equation☆83Updated 4 years ago
- Physics-guided neural network framework for elastic plates☆34Updated 2 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☆64Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆49Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆118Updated 9 months ago
- 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
- physics-informed neural network for elastodynamics problem☆126Updated 2 years ago
- ☆32Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆27Updated 2 years ago
- ☆34Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆49Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆58Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆53Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆61Updated last year
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆30Updated last month
- gPINN: Gradient-enhanced physics-informed neural networks☆82Updated 2 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆31Updated 5 months ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆15Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆26Updated 2 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 4 years ago
- POD-PINN code and manuscript☆47Updated 2 months ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆27Updated 2 years ago