rmojgani / PhysicsAwareAELinks
The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
☆19Updated 3 years ago
Alternatives and similar repositories for PhysicsAwareAE
Users that are interested in PhysicsAwareAE are comparing it to the libraries listed below
Sorting:
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆20Updated 2 years ago
- ☆10Updated 2 years ago
- Turbulent flow network source code☆70Updated 6 months ago
- ☆27Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 weeks ago
- ☆44Updated 2 years ago
- Distributed Fourier Neural Operators☆30Updated 3 years ago
- ☆39Updated 2 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆57Updated 8 months ago
- ☆16Updated last year
- A Python library for training neural ODEs.☆25Updated 7 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆36Updated 6 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 7 months ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 11 months ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- ☆10Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆67Updated last year
- Python 2D Navier-Stokes solver☆22Updated last month
- ☆21Updated 2 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆14Updated 3 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated this week
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- ☆22Updated 3 months ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago