Willcox-Research-Group / ROM-OpInf-Combustion-2DView external linksLinks
Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.
☆34Jul 1, 2022Updated 3 years ago
Alternatives and similar repositories for ROM-OpInf-Combustion-2D
Users that are interested in ROM-OpInf-Combustion-2D are comparing it to the libraries listed below
Sorting:
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆79Jan 15, 2026Updated 3 weeks ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆30Dec 17, 2023Updated 2 years ago
- ☆14Mar 8, 2022Updated 3 years ago
- LES-ML closures for Kraichnan turbulence☆19Feb 3, 2020Updated 6 years ago
- Image-Based Mesh Generation☆13Apr 7, 2024Updated last year
- Python bindings to pressio☆10Oct 18, 2022Updated 3 years ago
- ☆12Jan 29, 2025Updated last year
- 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
- Reduced Order Model Predictive Control☆28Dec 21, 2021Updated 4 years ago
- Convert a mesh from VTK format to OpenFOAM☆11Jan 22, 2013Updated 13 years ago
- POD-PINN code and manuscript☆57Nov 10, 2024Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 2 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 years ago
- ☆15Feb 16, 2017Updated 8 years ago
- A predictive model of the turbulent burning velocity for planar and Bunsen flames over a wide range of conditions☆14Dec 27, 2022Updated 3 years ago
- Distributed Training of Bayesian Neural Networks at Scale☆11May 26, 2020Updated 5 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆37Sep 7, 2023Updated 2 years ago
- 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
- Pedagogical examples for using pFUnit☆19Jul 25, 2024Updated last year
- postProcessing tool for OpenFOAM, transform OpenFOAM fields to one single file by columns☆17May 11, 2021Updated 4 years ago
- Block-based Octree AMR grid flow solver☆20Apr 2, 2017Updated 8 years ago
- This repository explores a variety of data visualization techniques, with a particular focus on applications in the hospitality domain. I…☆43Oct 16, 2025Updated 3 months ago
- Implementation of reduced-order optimal control schemes for finite element models of Soft Robots☆39Oct 3, 2024Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 2 years ago
- ☆19Oct 23, 2020Updated 5 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆50May 18, 2023Updated 2 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…☆23May 9, 2021Updated 4 years ago
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 2 weeks ago
- ☆20May 29, 2020Updated 5 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆20Sep 14, 2022Updated 3 years ago
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆23Apr 29, 2021Updated 4 years 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
- ☆52Jun 21, 2023Updated 2 years ago
- Solve Navier Stokes Equation in 3D using pressure-correction scheme and parallel multigrid v-cycle.☆27May 16, 2013Updated 12 years ago
- Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods☆227Dec 3, 2025Updated 2 months ago
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆179Mar 8, 2025Updated 11 months ago
- Unsteady Vortex Lattice Method for Aeroelasticity in C++☆30May 31, 2025Updated 8 months ago
- Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1…☆22Aug 22, 2018Updated 7 years ago