belson17 / modred
Modred main repository
☆78Updated 3 years ago
Alternatives and similar repositories for modred:
Users that are interested in modred are comparing it to the libraries listed below
- A library of tools for computing variants of Dynamic Mode Decomposition☆46Updated 7 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆108Updated 4 months ago
- Pythonic spectral proper orthogonal decomposition☆38Updated 2 years ago
- Easy Reduced Basis method☆84Updated 3 weeks ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆148Updated 2 weeks ago
- Deep Learning for Reduced Order Modelling☆93Updated 3 years ago
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆88Updated 5 months ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated 2 weeks ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆65Updated last year
- Immersed Boundary Projection Method☆108Updated 5 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆105Updated 3 weeks ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆34Updated 9 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 6 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆58Updated 4 years ago
- Fluid-Structure-Interaction / MHD Research Code. Relies on Fourier transforms for derivatives and the volume penalization method to inclu…☆46Updated 3 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆30Updated 4 years ago
- Spectral proper orthogonal decomposition in Matlab☆135Updated 6 months ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆29Updated 3 years ago
- ☆13Updated 3 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- The Large-Eddy Simulation framework from the Turbulence Research Group at Johns Hopkins University☆137Updated 4 years ago
- A synthetic, isotropic turbulence generator for constant density flows that enforces the discrete divergence-free condition.☆46Updated 4 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆40Updated 7 years ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆63Updated 4 months ago
- A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms a…☆56Updated 5 years ago
- Reduced order modelling techniques for OpenFOAM☆186Updated this week
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆65Updated 2 years ago