XinyuanLiao / Adaptive-optimization-of-PINNLinks
Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm
☆31Updated 2 years ago
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
Sorting:
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- ☆26Updated 3 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 8 months ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- Physics Informed Fourier Neural Operator☆24Updated 8 months ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆37Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆47Updated 2 years ago
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆11Updated last year
- Original implementation of fast PINN optimization with RBA weights☆57Updated 3 months ago
- Research/development of physics-informed neural networks for dynamic systems☆27Updated 8 months ago
- ☆20Updated 3 weeks ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆85Updated 2 years ago
- Multi-fidelity regression with neural networks☆13Updated 8 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated last year
- ☆56Updated 6 months ago
- ☆64Updated 2 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- Implementing a physics-informed DeepONet from scratch☆45Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- ☆11Updated 8 months ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆46Updated last year
- PDE Preserved Neural Network☆54Updated 2 months ago
- Physics-informed learning of governing equations from scarce data☆149Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆73Updated 2 years ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆24Updated 2 months ago