MarcusHA94 / structural-dynamics-pinnsLinks
Research/development of physics-informed neural networks for dynamic systems
☆23Updated 7 months ago
Alternatives and similar repositories for structural-dynamics-pinns
Users that are interested in structural-dynamics-pinns are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆34Updated 2 years ago
- multi-fidelity neural network☆19Updated last year
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆90Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆37Updated 2 years ago
- ☆39Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 6 months ago
- ☆37Updated last year
- ☆19Updated last year
- This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my t…☆15Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago
- ☆39Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Multi-fidelity regression with neural networks☆13Updated 7 months ago
- Physics-informed deep learning for structural dynamics under moving load☆14Updated 9 months ago
- Basic implementation of physics-informed neural network with pytorch.☆71Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- Physics-Informed Neural Network☆85Updated last year
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆39Updated last week
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆22Updated 2 years ago
- ☆9Updated 7 months ago
- POD-PINN code and manuscript☆52Updated 7 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆71Updated 2 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆39Updated 10 months ago