ZimoLiao / rvmdLinks
Reduced-order Variational Mode Decomposition (RVMD)
☆28Updated 10 months ago
Alternatives and similar repositories for rvmd
Users that are interested in rvmd are comparing it to the libraries listed below
Sorting:
- 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…☆27Updated 7 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆98Updated 2 years ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- multi-fidelity neural network☆22Updated 2 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆30Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆90Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆42Updated 3 years ago
- ☆43Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆167Updated last year
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆36Updated 4 months ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆117Updated 3 years ago
- A Flow Field Prediction Program & Multiple Spatio_temporal Attention (MSTA) Network & Multiple Fusion Attention (MFA) & Spatial Transform…☆15Updated 4 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆28Updated 11 months ago
- Physics-encoded recurrent convolutional neural network☆48Updated 4 years ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆20Updated 4 years ago
- Research/development of physics-informed neural networks for dynamic systems☆32Updated last year
- POD-PINN code and manuscript☆57Updated last year
- PDE Preserved Neural Network☆59Updated 8 months ago
- ☆27Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆70Updated 4 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆38Updated 3 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆37Updated 2 years ago
- Deep Learning for Structural Health monitoring☆20Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 years ago
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆21Updated 4 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Updated 10 months ago