zhry10 / PhyLSTMLinks
We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
☆99Updated 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☆42Updated 3 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆167Updated last year
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆20Updated 4 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆97Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆70Updated 4 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆60Updated 5 years ago
- Physics-informed learning of governing equations from scarce data☆167Updated 2 years ago
- ☆130Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- Implementing a physics-informed DeepONet from scratch☆55Updated 2 years ago
- DeepXDE and PINN☆149Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- ☆43Updated 2 years ago
- ☆11Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆90Updated last year
- ☆69Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆188Updated last year
- Research/development of physics-informed neural networks for dynamic systems☆32Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆28Updated last year
- 一个简易的模块化物理信息神经网络实现(PINN)☆50Updated 2 months ago
- physics-informed neural network for elastodynamics problem☆152Updated 4 years ago
- Physics-informed neural networks package☆341Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆85Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆107Updated 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
- This is the code of my master thesis.☆176Updated 9 months ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆23Updated 3 years ago