Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks
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DOI: 10.5194/gmd-16-2037-2023
Abstract: Abstract. 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… read more here.
Keywords: polynomial chaos; multiphase chemical; chemistry; machine learning ... See more keywords