Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 20, issue 24
Articles | Volume 20, issue 24
https://doi.org/10.5194/acp-20-15867-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-15867-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 24
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, Tracey Balehowsky, Jakub Kubečka, Tinja Olenius, Tapio Helin, Heikki Haario, Marko Laine, Theo Kurtén, and Hanna Vehkamäki

Viewed

Total article views: 2,216 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,544 607 65 2,216 60 83
  • HTML: 1,544
  • PDF: 607
  • XML: 65
  • Total: 2,216
  • BibTeX: 60
  • EndNote: 83
Views and downloads (calculated since 04 May 2020)
Cumulative views and downloads (calculated since 04 May 2020)

Viewed (geographical distribution)

Total article views: 2,216 (including HTML, PDF, and XML) Thereof 2,216 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint