reduced-order-modeling

There are 3 repositories under reduced-order-modeling topic.

pswpswpsw / nif
A library for dimensionality reduction on spatial-temporal PDE
deep-learning dimensionality-reduction pde reduced-order-modeling tensorflow
Language:Jupyter Notebook 47
hippylib / hippyflow
Dimension reduced surrogate construction for parametric PDE maps
neural-networks dimension-reduction dimensionality-reduction reduced-order-surrogate-model reduced-order-modeling reduced-basis active-subspace karhunen-loeve proper-orthogonal-decomposition parametric-pde parametric-pdes surrogate-models deep-learning
Language:Python 35
haozhg / odmd
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
dynamical-systems online-learning nonlinear-dynamics system-identification model-learning fluid-dynamics control-theory inverse-problems data-driven-model reduced-order-modeling model-reduction online-optimization machine-learning-algorithms applied-math ai ai4science
Language:Python 33
cwentland0 / perform
One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-order model methods.
reduced-order-modeling reacting-flow-simulations
Language:Python 23
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.
reduced-order-modeling deep-learning proper-orthogonal-decomposition dimensionality-reduction parametrized-pdes
Language:Python 23
erdc / podrbf_nirom
Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow water equations
model-order-reduction proper-orthogonal-decomposition radial-basis-function non-intrusive data-driven reduced-order-modeling shallow-water-equations greedy-algorithms
Language:Jupyter Notebook 15
simzero / openfoam-ml-rom
OpenFOAM examples for data-driven ML and ROM
cfd ml openfoam reduced-order-modeling rom onnxruntime fluids machine-learning flowaroundobstacles pitzdaily deep-learning simulations workflows
Language:C++ 12
papadeiv / NNsPOD
Deep-learning model for optimised proper orthogonal decomposition of non-linear, hyperbolic, parametric PDEs based on a pre-processing method of the full-order solutions
reduced-order-modeling ithaca-fv python neural-networks proper-orthogonal-decomposition pdes finite-volume-method
Language:C++ 6
francocerino / scikit-reducedmodel
Reduced Order Models in a scikit-learn approach.
machine-learning python reduced-order-modeling reduced-basis scikit-learn
Language:Jupyter Notebook 5
pvlachas / LearningEffectiveDynamics
Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.
autoencoders direct-numerical-simulation equation-free-modeling kuramoto-sivashinsky lstm-neural-networks machine-learning navier-stokes-equations recurrent-neural-networks reduced-order-modeling simulations learning-effective-dynamics
Language:Python 5
DongweiYe / ROM-with-geometry-informed-snapshots
Non-intrusive reduced-order modeling with geometry-informed snapshots. Current based registration is applied to compute the diffeomorphism between snapshots.
data-driven-model geometry-informed-snapshots hemodynamics machinelearning reduced-order-modeling
Language:Python 4
jwwtc / ReX-Surrogate
A Surrogate Modeling Framework for the Phase-Field Simulation.
gaussian-processes phase-field-method reduced-order-modeling
Language:Jupyter Notebook 3
OlavMSG / Master-Thesis-Spring-2022
Code TMA4900 Industrial Mathematics, Master’s Thesis
finite-element-methods linear-elasticity reduced-basis reduced-order-modeling
Language:Python 3
buqeye / frontiers-emulator-review
Supplemental Material for "BUQEYE Guide to Projection-Based Emulators in Nuclear Physics"
eigenvector-continuation emulators model-order-reduction model-reduction nuclear-physics reduced-basis reduced-order-modeling reduced-order-models scattering-physics parametric
Language:Python 2
ddrous / nodepint
Parallel-in-time integration of Neural ODEs with reduced basis approximation
neural-ode parallel-in-time reduced-order-modeling
Language:Python 2
OlavMSG / Specialization-Project-fall-2021
Code for building a reduced-order model for the linear elasticity equation on a square in 2D for my specialization Project at NTNU.
finite-element-methods reduced-order-modeling reduced-basis linear-elasticity
Language:Python 1
oliviatessa / pNIF_old
Neural network pruning to reduce the size of Neural Implicit Flow network.
deep-learning fluid-dynamics pruning reduced-order-modeling tensorflow
Language:Jupyter Notebook 0
utkucaylan / utkucaylan
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machine-learning optimization reduced-order-modeling
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