Predicting gas–particle partitioning coefficients of atmospheric molecules with machine learning

<p>The formation, properties, and lifetime of secondary organic aerosols in the atmosphere are largely determined by gas–particle partitioning coefficients of the participating organic vapours. Since these coefficients are often difficult to measure and to compute, we developed a machine learn...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs: E. Lumiaro, M. Todorović, T. Kurten, H. Vehkamäki, P. Rinke
Formaat: Artikel
Taal:English
Gepubliceerd in: Copernicus Publications 2021-09-01
Reeks:Atmospheric Chemistry and Physics
Online toegang:https://acp.copernicus.org/articles/21/13227/2021/acp-21-13227-2021.pdf