Articles | Volume 20, issue 24
Atmos. Chem. Phys., 20, 15867–15906, 2020
https://doi.org/10.5194/acp-20-15867-2020
Atmos. Chem. Phys., 20, 15867–15906, 2020
https://doi.org/10.5194/acp-20-15867-2020

Research article 21 Dec 2020

Research article | 21 Dec 2020

Identification of molecular cluster evaporation rates, cluster formation enthalpies and entropies by Monte Carlo method

Anna Shcherbacheva et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lorena Grabowski on behalf of the Authors (25 Jul 2020)  Author's response
ED: Referee Nomination & Report Request started (28 Jul 2020) by Fangqun Yu
RR by Anonymous Referee #1 (04 Aug 2020)
ED: Reconsider after major revisions (05 Aug 2020) by Fangqun Yu
AR by Anna Shcherbacheva on behalf of the Authors (09 Sep 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Sep 2020) by Fangqun Yu
RR by Anonymous Referee #1 (06 Oct 2020)
ED: Publish subject to minor revisions (review by editor) (07 Oct 2020) by Fangqun Yu
AR by Anna Shcherbacheva on behalf of the Authors (14 Oct 2020)  Author's response    Manuscript
ED: Publish as is (18 Oct 2020) by Fangqun Yu
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Short summary
Atmospheric new particle formation and cluster growth to aerosol particles is an important field of research, in particular due to the climate change phenomenon. Evaporation rates are very difficult to account for but they are important to explain the formation and growth of particles. Different quantum chemistry (QC) methods produce substantially different values for the evaporation rates. We propose a novel approach for inferring evaporation rates of clusters from available measurements.
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