haller-group / SSMLearnPy

Related projects: ⓘ

• jain-shobhit / SSMTool
  Computation of invariant manifolds in high-dimensional mechanics problems
  ☆20Updated 10 months ago
• haller-group / SSMLearn
  Data-driven reduced order modeling for nonlinear dynamical systems
  ☆37Updated last week
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆66Updated last week
• Willcox-Research-Group / ROM-OpInf-Combustion-2D
  Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …
  ☆28Updated 2 years ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆42Updated 7 years ago
• sheadan / SINDy-BVP
  Sparse Identification of Nonlinear Dynamics for Boundary Value Problems
  ☆12Updated 3 years ago
• urban-fasel / FlexWingROM
  ☆16Updated last year
• chyalexcheng / grainLearning
  A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…
  ☆12Updated last year
• modelflows / ModelFLOWs-app
  ModelFLOWs application
  ☆15Updated last year
• KTH-Nek5000 / UQit
  ☆14Updated 2 years ago
• david-kamensky / VarMINT
  Variational Multiscale Incompressible Navier--Stokes Toolkit
  ☆11Updated last year
• chennachaos / CouplingSchemesFSI
  ☆13Updated last year
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆17Updated 7 years ago
• onera / Cassiopee
  CFD pre- and post-processing python modules
  ☆17Updated this week
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆22Updated 3 years ago
• npuljc / RL_control_Nek5000
  ☆20Updated 3 years ago
• Extrality / NACA_simulation
  Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.
  ☆17Updated last year
• pranshupant / DL-ROM
  Deep Learning for Reduced Order Modelling
  ☆81Updated 2 years ago
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆79Updated 2 months ago
• ben-herrmann / Data-driven-resolvent
  Companion code for Data-Driven Resolvent Analysis
  ☆17Updated 3 years ago
• KVSlab / turtleFSI
  Monolithic Fluid-Structure Interaction (FSI) solver
  ☆58Updated 3 months ago
• stefaniafresca / POD-DL-ROM
  Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…
  ☆26Updated last year
• 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 F…
  ☆25Updated 3 years ago
• RBniCS / RBniCS
  RBniCS - reduced order modelling in FEniCS (legacy)
  ☆97Updated last month
• opaliss / dmd_autoencoder
  Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
  ☆27Updated 3 years ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆25Updated 6 months ago
• Nek5000 / NekROM
  Model-Order Reduction Framework for Nek5000
  ☆13Updated last week
• kylebeggs / POD-RBF
  Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network
  ☆49Updated last year
• mikaem / Oasis
  ☆54Updated last year