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20192022
most citedA full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows

7 citations · 10 across the 4 of their papers we have counts for

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Showing 2021Show all

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math.NA2021★ 7 cited

A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows

Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev +5

We present an integrated approach for the use of simulated data from full order discretization as well as projection-based Reduced Basis reduced order models for the training of ma…

cs.LG2021

Machine Learning for Initial Value Problems of Parameter-Dependent Dynamical Systems

Roland Pulch, Maha Youssef

We consider initial value problems of nonlinear dynamical systems, which include physical parameters. A quantity of interest depending on the solution is observed. A discretisation…