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
Alternatives and similar repositories for NeuralODE-ROM
Users that are interested in NeuralODE-ROM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Jan 6, 2021Updated 5 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆40Jul 4, 2015Updated 11 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆32Jan 21, 2021Updated 5 years ago
- Controlling extreme energy events in turbulent flow (2D Kolmogorov flow)☆10Oct 13, 2026Updated 2 weeks ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆44Sep 7, 2023Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆26May 30, 2023Updated 3 years ago
- Deep Learning for Reduced Order Modelling☆118Nov 11, 2021Updated 4 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆14Nov 30, 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 6 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆33Jan 20, 2025Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆18Sep 7, 2023Updated 3 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆18Aug 3, 2026Updated 2 months ago
- ☆15Oct 20, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆34Mar 11, 2024Updated 2 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Apr 5, 2023Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆35Jun 17, 2025Updated last year
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Aug 18, 2023Updated 3 years ago
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 9 months ago
- POD-PINN code and manuscript☆62Nov 10, 2024Updated last year
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆30Sep 6, 2021Updated 5 years ago
- Data reduction algorithm for CFD☆11Oct 22, 2026Updated last week
- Dataset of Airfoil Aerodynamic and Geometric Coefficients☆20Apr 1, 2026Updated 6 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆46May 2, 2018Updated 8 years ago
- a multiresolution convolutional autoencoder architecture☆24Mar 17, 2021Updated 5 years ago
- Reduced Order Model Predictive Control☆29Dec 21, 2021Updated 4 years ago
- Python script to run CFD analysis on airfoil using **OpenFOAM** to simulate and **gmsh** to generate mesh.☆30Sep 28, 2019Updated 7 years 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…☆25May 9, 2021Updated 5 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆182Updated this week
- ☆12Dec 13, 2024Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆28Sep 7, 2023Updated 3 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…☆30Jun 2, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A simple proof-of-concept to optimize airfoils with OpenFOAM and differential evolution.☆14Jan 5, 2025Updated last year
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆25Aug 2, 2021Updated 5 years ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆92Nov 4, 2024Updated last year
- ☆49Apr 21, 2025Updated last year
- redbKIT is a MATLAB library for reduced-order modeling of parametrized PDEs☆64Aug 26, 2024Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Hidden Fluid Mechanics in PyTorch☆21Nov 6, 2023Updated 2 years ago