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:
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 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☆39Updated 3 years ago
- ☆26Updated 3 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆15Updated 10 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- Physics Informed Fourier Neural Operator☆23Updated 10 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆94Updated 2 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆22Updated 6 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆64Updated 4 years ago
- ☆64Updated 2 years ago
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆13Updated last week
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆156Updated last year
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆89Updated 2 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆45Updated 3 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆50Updated 2 years ago
- ☆60Updated last month
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆18Updated last year
- Original implementation of fast PINN optimization with RBA weights☆62Updated last month
- PDE Preserved Neural Network☆57Updated 5 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆23Updated 3 months ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆26Updated 2 months ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆11Updated 2 years ago
- Physics-guided Convolutional Neural Network☆68Updated 4 years ago
- This is the code of my master thesis.☆150Updated 6 months ago
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆37Updated 2 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆13Updated last year