Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks

<p>The heterogeneous chemistry of atmospheric aerosols involves multiphase chemical kinetics that can be described by kinetic multi-layer models (KMs) that explicitly resolve mass transport and chemical reactions. However, KMs are computationally too expensive to be used as sub-modules in larg...

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Bibliographic Details
Main Authors: T. Berkemeier, M. Krüger, A. Feinberg, M. Müller, U. Pöschl, U. K. Krieger
Format: Article
Language:English
Published: Copernicus Publications 2023-04-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/16/2037/2023/gmd-16-2037-2023.pdf