ZzYyPp47 / Solving_Allen-Cahn_with_Adaptive_PINNLinks
复现CICP论文提出的几种改进PINN性能的方法
☆20Updated last month
Alternatives and similar repositories for Solving_Allen-Cahn_with_Adaptive_PINN
Users that are interested in Solving_Allen-Cahn_with_Adaptive_PINN are comparing it to the libraries listed below
Sorting:
- PINN in solving Navier–Stokes equation☆107Updated 5 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆155Updated last year
- ☆46Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆85Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆20Updated 2 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆40Updated last month
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆21Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- DeepXDE and PINN☆122Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆73Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆37Updated 2 years ago
- Physics-Informed Neural Network☆87Updated last year
- PINN program for computational mechanics☆116Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆27Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- 2D wave equation simulated by PINN and FDM☆12Updated 3 years ago
- ☆39Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆144Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆95Updated 3 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆33Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆72Updated 3 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆30Updated last year
- This is the code of my master thesis.☆141Updated 3 months ago