XinyuanLiao / Adaptive-optimization-of-PINN
Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm
☆29Updated last year
Alternatives and similar repositories for Adaptive-optimization-of-PINN:
Users that are interested in Adaptive-optimization-of-PINN are comparing it to the libraries listed below
- Pytorch implementation of Bayesian physics-informed neural networks☆50Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 years ago
- ☆23Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆23Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆30Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆65Updated 2 years ago
- Physics Informed Fourier Neural Operator☆18Updated 3 months ago
- 复现CICP论文提出的几种改进PINN性能的方法☆16Updated 10 months ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 2 months ago
- Original implementation of fast PINN optimization with RBA weights☆47Updated 4 months ago
- ☆52Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- DeepXDE and PINN☆98Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆57Updated 2 years ago
- ☆42Updated 2 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆40Updated last year
- ☆46Updated last month
- This is the code of my master thesis.☆111Updated 3 weeks ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆72Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆50Updated 4 years ago
- Implementing a physics-informed DeepONet from scratch☆34Updated last year
- ☆26Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆16Updated 2 months ago
- gPINN: Gradient-enhanced physics-informed neural networks☆84Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆141Updated 9 months ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆32Updated 5 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆67Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆62Updated 10 months ago
- ☆24Updated last year