Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5687-2018
https://doi.org/10.5194/amt-11-5687-2018
Research article
 | 
18 Oct 2018
Research article |  | 18 Oct 2018

A machine learning approach to aerosol classification for single-particle mass spectrometry

Costa D. Christopoulos, Sarvesh Garimella, Maria A. Zawadowicz, Ottmar Möhler, and Daniel J. Cziczo

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Latest update: 13 Jun 2024
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Short summary
Compositional analysis of atmospheric and laboratory aerosols is often conducted with mass spectrometry. In this study, machine learning is used to automatically differentiate particles on the basis of chemistry and size. The ability of the machine learning algorithm was then tested on a data set for which the particles were not initially known to judge its ability.