Training set design for machine learning techniques applied to the approximation of computationally intensive first-principles kinetic models

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Authors: Mauro Bracconi, Matteo Maestri

Journal title: Chemical Engineering Journal

Journal number: 400

Journal publisher: Elsevier BV

Published year: 2020

Published pages: 125469

DOI identifier: 10.1016/j.cej.2020.125469

ISSN: 1385-8947