zhry10 / PhyLSTMLinks
We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
☆96Updated 2 years ago
Alternatives and similar repositories for PhyLSTM
Users that are interested in PhyLSTM are comparing it to the libraries listed below
Sorting:
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆39Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆161Updated last year
- DeepXDE and PINN☆134Updated 3 years ago
- Research/development of physics-informed neural networks for dynamic systems☆29Updated 11 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆90Updated 3 years ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆64Updated 4 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆52Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆86Updated last year
- ☆131Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆77Updated 4 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆98Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆175Updated last year
- Physics-informed learning of governing equations from scarce data☆156Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆254Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆151Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆51Updated 2 years ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆19Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆81Updated 3 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- Implementing a physics-informed DeepONet from scratch☆47Updated 2 years ago
- Physics Informed Fourier Neural Operator☆23Updated 11 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆26Updated 9 months ago
- Original implementation of fast PINN optimization with RBA weights☆62Updated last month
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆78Updated 3 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆22Updated 4 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago