Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.
☆29Sep 6, 2021Updated 4 years ago
Alternatives and similar repositories for CNN-SINDy-MLROM
Users that are interested in CNN-SINDy-MLROM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Discovers high dimensional models from 1D data using deep delay autoencoders☆39Feb 20, 2023Updated 3 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆17May 14, 2021Updated 4 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Sep 19, 2020Updated 5 years ago
- 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…☆28Jun 2, 2025Updated 9 months ago
- Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…☆59Aug 11, 2023Updated 2 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆45May 2, 2018Updated 7 years ago
- ☆14Feb 16, 2026Updated last month
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆27Sep 7, 2023Updated 2 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Apr 9, 2024Updated last year
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆13Nov 30, 2022Updated 3 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆12Jul 9, 2024Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- A collection of codes and references for deep learning in fluid dynamics☆18Jun 10, 2021Updated 4 years ago
- ☆380Oct 15, 2021Updated 4 years ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆39Jan 25, 2020Updated 6 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆38Jul 4, 2015Updated 10 years ago
- Coupling solidBodyMotionFunction with sixDOF solver in OpenFOAM-v1812☆18Apr 29, 2019Updated 6 years ago
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆36Feb 14, 2026Updated last month
- ☆28Oct 31, 2023Updated 2 years ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Apr 19, 2020Updated 5 years ago
- Deep Learning for Reduced Order Modelling☆108Nov 11, 2021Updated 4 years ago
- ☆12Dec 13, 2024Updated last year
- Repository outlining functions and tests for automatic regression of governing equations (ARGOS)☆18Jan 11, 2024Updated 2 years ago
- Repository for xL-SINDy, a robust algorithm to extract Lagrangian of nonlinear dynamical systems from noisy measurement data.☆11Aug 8, 2022Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Workshops on CFD at the University of Houston☆15Mar 18, 2019Updated 7 years ago
- Exploit Auto-encoder for exploring and predict flow dynamic☆10Oct 4, 2019Updated 6 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Nov 13, 2025Updated 4 months ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆24May 9, 2021Updated 4 years ago
- ☆14Jan 22, 2022Updated 4 years ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆34Apr 2, 2021Updated 4 years ago
- Multi-head attention network for airfoil flow field prediction☆17Sep 13, 2022Updated 3 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆31May 30, 2023Updated 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…☆30Jan 20, 2025Updated last year