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:
- 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
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 years ago
- Deep Learning for Reduced Order Modelling☆111Nov 11, 2021Updated 4 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆39Sep 7, 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
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆12Apr 5, 2023Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆33Jun 17, 2025Updated 10 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆30Sep 6, 2021Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago
- ☆14Mar 3, 2022Updated 4 years ago
- ☆12Dec 13, 2024Updated last year
- 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 4 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
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆87Nov 4, 2024Updated last year
- Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.☆21Mar 27, 2019Updated 7 years ago
- Hidden Fluid Mechanics in PyTorch☆21Nov 6, 2023Updated 2 years ago
- A collection of relevant literature related to advancement of machine learning techniques for turbulence modeling and analysis☆18Jan 8, 2020Updated 6 years ago
- ☆23May 10, 2019Updated 6 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Jan 6, 2021Updated 5 years ago
- DifferentialEquations.jl with PyTorch☆11Oct 12, 2022Updated 3 years 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.
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆13May 3, 2021Updated 4 years ago
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 3 months ago
- Dataset of Airfoil Aerodynamic and Geometric Coefficients☆16Apr 1, 2026Updated last month
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Oct 23, 2018Updated 7 years ago
- Uncertainty quantification using martingales for misspecified Gaussian processes☆10Feb 15, 2021Updated 5 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆13Nov 30, 2022Updated 3 years ago
- ☆14Apr 24, 2026Updated last week
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Matlab toolbox to compute the statistics, pdf, cdf, inverse cdf and random numbers of the generalized chi-square distribution.☆12Mar 5, 2026Updated last month
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Reduced Order Model Predictive Control☆28Dec 21, 2021Updated 4 years ago
- a multiresolution convolutional autoencoder architecture☆24Mar 17, 2021Updated 5 years ago
- Mathematical interdisciplinary toolbox for helping engineers, researchers and scientist☆20Mar 6, 2025Updated last year
- ☆16Nov 20, 2023Updated 2 years ago
- ☆10Mar 2, 2022Updated 4 years ago
- OpenFOAM solver for Internal Combustion Engine simulations☆19Apr 27, 2021Updated 5 years ago
- Python script to run CFD analysis on airfoil using **OpenFOAM** to simulate and **gmsh** to generate mesh.☆28Sep 28, 2019Updated 6 years ago