kamilazdybal / POD-DMD-decompositionsView external linksLinks
POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for Fluid Dynamics under supervision of Professor Miguel A. Mendez.
☆34Oct 20, 2020Updated 5 years ago
Alternatives and similar repositories for POD-DMD-decompositions
Users that are interested in POD-DMD-decompositions are comparing it to the libraries listed below
Sorting:
- the proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD) methods☆17Jul 24, 2019Updated 6 years ago
- A tool to connect POD and DMD☆10Jan 18, 2019Updated 7 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 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
- Pythonic spectral proper orthogonal decomposition☆46Jun 30, 2022Updated 3 years ago
- The repository contains the codes linked to the SPICY project (Super-resolution and Pressure from Image Velocimetry)☆12Nov 26, 2025Updated 2 months ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Dec 4, 2019Updated 6 years ago
- Reduced order modeling with shallow recurrent decoder networks☆19Jan 20, 2026Updated 3 weeks ago
- PIVPy helps to understand PIV results, inspired by PIVMAT☆14Jan 9, 2026Updated last month
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Dec 11, 2021Updated 4 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- OpenFOAM case for simulating the flow over a NACA 2412 airfoil.☆16Nov 22, 2013Updated 12 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Dec 15, 2021Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Apr 10, 2021Updated 4 years ago
- ☆14Jan 17, 2026Updated last month
- Dynamic Mode Decomposition (DMD)☆34Dec 2, 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…☆37Sep 7, 2023Updated 2 years ago
- Pressure from PIV☆14Nov 15, 2021Updated 4 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
- The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs☆18Mar 12, 2025Updated 11 months ago
- An object-oriented Python 3 GUI and API for single- and multi-element parametric airfoil design, analysis, and optimization☆21Aug 29, 2025Updated 5 months ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆39Jul 4, 2015Updated 10 years ago
- Dimensionless learning☆42Jan 25, 2026Updated 3 weeks ago
- ☆12Aug 22, 2025Updated 5 months ago
- Multi-head attention network for airfoil flow field prediction☆17Sep 13, 2022Updated 3 years ago
- Data and Code supporting the eBook by Castro and Vanderwel (2021)☆20Feb 7, 2022Updated 4 years ago
- A fun, lightweight tool to visualize potential flows quickly!☆19Jan 23, 2025Updated last year
- CNN model to predict the lift-drag ratio of airfoil☆18Feb 28, 2021Updated 4 years ago
- A Python toolkit to calculate and visualize turbulence anisotropy and turbulent viscosity from Reynolds stress tensor data.☆21Dec 22, 2023Updated 2 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
- Finite volume solver for hyperbolic PDEs and hypersonic flows☆21Aug 1, 2023Updated 2 years ago
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆21Jan 27, 2022Updated 4 years ago
- ☆19Oct 17, 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
- ☆19Feb 3, 2022Updated 4 years ago
- Lecture material for machine learning applied to computational fluid mechanics☆433Dec 16, 2025Updated 2 months ago
- An article reporting the travails of reproducibility in unsteady CFD studies☆26May 10, 2020Updated 5 years ago
- ☆21Sep 28, 2020Updated 5 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago