zhry10 / PhyCNNLinks
Physics-guided Convolutional Neural Network
☆67Updated 4 years ago
Alternatives and similar repositories for PhyCNN
Users that are interested in PhyCNN are comparing it to the libraries listed below
Sorting:
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆19Updated 3 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆85Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆36Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- Deep LSTM for highly nonlinear system modeling☆56Updated 5 years ago
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆12Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- Research/development of physics-informed neural networks for dynamic systems☆23Updated 6 months 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…☆23Updated this week
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆30Updated 3 years ago
- ☆62Updated 2 years ago
- DeepXDE and PINN☆112Updated 3 years ago
- ☆10Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Updated 3 years ago
- PINN for solving wave equation☆20Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 4 months ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆37Updated 9 months ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆18Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆32Updated 2 years ago
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆15Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆140Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆68Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆46Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- ☆19Updated last year
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆69Updated last year