taesoon-kim's Stars
PyFR/PyFR
PyFR
nasa/CFL3D
mdolab/OpenAeroStruct
OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.
MathEXLab/PySPOD
A Python package for spectral proper orthogonal decomposition (SPOD).
mendezVKI/MODULO
MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and experimental data using the mPOD.
nasa/TLNS3D
nasa/Plot3D_utilities
A Python library for reading, writing, finding connectivity for plot3d files
fanav/Energy_Spectrum
Script (with example) to compute the kinetic energy spectrum of periodic turbulent flows.
vassilikitsios/snapshot_pod_rom_py
Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order models of the system dynamics.
stefaniafresca/POD-DL-ROM
Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition. Available on doi.org/10.1016/j.cma.2021.114181.
kamilazdybal/POD-DMD-decompositions
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.
luohancfd/FluidDynamicTools
A repository of postprocessing scripts for fluid dynamics (CFD, DSMC and etc.)
vassilikitsios/snapshot_pod_parallel_cpp
A parallel C++ MPI code to calculates the proper orthogonal decomposition modes (aka principal components) from a series of observations / measurements.
BJUT-SIPL/POD-NN
Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.
jholland1/SU2
SU2: An Open-Source Suite for Multiphysics Simulation and Design
mid2SUPAERO/POD-K_v2-CHANDRE
POD+K in Real-Time Aeroelastic Pre-design Problem
vsriv9394/pyUnsteadyAdjointsUM
Example for Field Inversion using Unsteady Adjoints
eaplab/CNN-POD
vsriv9394/pyModelAugmentationUM
Field Inversion and Machine Learning framework for Model Augmentation