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17 search results found

Model reduction library with an emphasis on large scale parallelism and linear subspace methods

Ithaca Fv ⭐ 148

Reduced order modelling techniques for OpenFOAM

Tasmanian ⭐ 62

The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN

core C++ library

FlowNet - Data-Driven Reservoir Predictions

Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network

Ssmlearn ⭐ 23

Data-driven reduced order modeling for nonlinear dynamical systems

Liibra.jl ⭐ 23

Create reduced-order state-space models for lithium-ion batteries utilising realisation algorithms.

Probabilistic Response mOdel Fitting with Interactive Tools

AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

Dl Rom Meth ⭐ 14

Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.

Physicsawareae ⭐ 13

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.

Ithaca Sem ⭐ 10

ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods

Standardized Non-Intrusive Reduced Order Modeling

Vlasovmethods.jl ⭐ 6

Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

Incremental_pod ⭐ 5

A straightforward prototype implementation of the incremental POD to demonstrate its use in reduced order modeling.

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