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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- the proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD) methods☆18Jul 24, 2019Updated 7 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
- The repository contains the codes linked to the SPICY project (Super-resolution and Pressure from Image Velocimetry)☆14Nov 26, 2025Updated 9 months ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Dec 4, 2019Updated 6 years ago
- 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.
- OpenFOAM case for simulating the flow over a NACA 2412 airfoil.☆16Nov 22, 2013Updated 12 years ago
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆24Jan 27, 2022Updated 4 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
- Pythonic spectral proper orthogonal decomposition☆53Jun 30, 2022Updated 4 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆44Sep 7, 2023Updated 2 years ago
- PIVPy helps to understand PIV results, inspired by PIVMAT☆15Aug 22, 2026Updated last week
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 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
- CNN model to predict the lift-drag ratio of airfoil☆18Feb 28, 2021Updated 5 years ago
- 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.
- A repository of postprocessing scripts for fluid dynamics (CFD, DSMC and etc.)☆25Jul 27, 2020Updated 6 years ago
- OpenFOAM case for a small wind turbine simulation.☆25Nov 25, 2017Updated 8 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆13Dec 11, 2021Updated 4 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- ☆14Apr 24, 2026Updated 4 months ago
- Data and Code supporting the eBook by Castro and Vanderwel (2021)☆20Feb 7, 2022Updated 4 years ago
- Dynamic Mode Decomposition (DMD)☆34Dec 2, 2021Updated 4 years ago
- CNN for airfoil lift-to-drag-ratio prediction☆46Mar 3, 2019Updated 7 years ago
- Multi-head attention network for airfoil flow field prediction☆17Sep 13, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆18Sep 7, 2023Updated 2 years ago
- Adaptive discrete empirical interpolation method☆16Feb 18, 2020Updated 6 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Jul 30, 2022Updated 4 years ago
- Dimensionless learning☆48Apr 10, 2026Updated 4 months ago
- The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs☆19Mar 12, 2025Updated last year
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Sep 19, 2020Updated 5 years ago
- Predicting 2D Steady State Fluid Flow Fields using Convolutional Neural Networks☆12Oct 3, 2020Updated 5 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 3 weeks ago
- Pressure from PIV☆15Nov 15, 2021Updated 4 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.
- Ensemble Kalman Filters (EnKFs) powered by the Fast Multipole Method (FMM) and Randomized Low-Rank Approximations (RandLRA)☆22Jun 17, 2017Updated 9 years ago
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆103Updated this week
- Optimization framework for designing wind farms using computational fluid dynamics☆15Oct 6, 2020Updated 5 years ago
- An object-oriented Python 3 GUI and API for single- and multi-element parametric airfoil design, analysis, and optimization☆22Aug 29, 2025Updated last year
- Lecture material for machine learning applied to computational fluid mechanics☆478Dec 16, 2025Updated 8 months ago
- NEW VERSION ！ Parallel solver for thermal-fluid-structural topology optimization on unstructured grids.☆70Mar 30, 2023Updated 3 years ago
- 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 2 years ago