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…