ZzYyPp47 / pinnLinks
一个简易的模块化物理信息神经网络实现(PINN)
☆38Updated 9 months ago
Alternatives and similar repositories for pinn
Users that are interested in pinn are comparing it to the libraries listed below
Sorting:
- DeepXDE and PINN☆114Updated 3 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆20Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆146Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- ☆43Updated 2 years ago
- This Python script solves the Navier-Stokes equations using Physics-Informed Neural Network. This approach enables the modeling of fluid …☆15Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆73Updated last year
- Basic implementation of physics-informed neural network with pytorch.☆70Updated 2 years ago
- PINN in solving Navier–Stokes equation☆105Updated 5 years ago
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆11Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- PINN program for computational mechanics☆114Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆36Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- Physics-Informed Neural Network☆85Updated last year
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆90Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- ☆46Updated 2 years ago
- ☆39Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆142Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆67Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆34Updated 2 years ago
- ☆14Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Physics informed neural network (PINN) for the 1D Heat equation☆18Updated last year