Articles | Volume 23, issue 10
https://doi.org/10.5194/acp-23-5993-2023
https://doi.org/10.5194/acp-23-5993-2023
Research article
 | 
01 Jun 2023
Research article |  | 01 Jun 2023

Collision-sticking rates of acid–base clusters in the gas phase determined from atomistic simulation and a novel analytical interacting hard-sphere model

Huan Yang, Ivo Neefjes, Valtteri Tikkanen, Jakub Kubečka, Theo Kurtén, Hanna Vehkamäki, and Bernhard Reischl

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Cited articles

Barducci, A., Bussi, G., and Parrinello, M.: Well-Tempered Metadynamics: A Smoothly Converging and Tunable Free-Energy Method, Phys. Rev. Lett., 100, 020603, https://doi.org/10.1103/PhysRevLett.100.020603, 2008. a
Becker, R. and Döring, W.: Kinetische Behandlung der Keimbildung in übersättigten Dämpfen, Ann. Phys., 416, 719–752, https://doi.org/10.1002/andp.19354160806, 1935. a
Clary, D.: Calculations of rate constants for ion-molecule reactions using a combined capture and centrifugal sudden approximation, Mol. Phys., 54, 605–618, https://doi.org/10.1080/00268978500100461, 1985. a
Elm, J., Jen, C. N., Kurtén, T., and Vehkamäki, H.: Strong Hydrogen Bonded Molecular Interactions between Atmospheric Diamines and Sulfuric Acid, J. Phys. Chem. A, 120, 3693–3700, https://doi.org/10.1021/acs.jpca.6b03192, 2016. a
Farkas, L.: Keimbildungsgeschwindigkeit in übersättigten Dämpfen, Z. Phys. Chem., 125U, 236–242, https://doi.org/10.1515/zpch-1927-12513, 1927. a
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We present a new analytical model for collision rates between molecules and clusters of arbitrary sizes, accounting for long-range interactions. The model is verified against atomistic simulations of typical acid–base clusters participating in atmospheric new particle formation (NPF). Compared to non-interacting models, accounting for long-range interactions leads to 2–3 times higher collision rates for small clusters, indicating the necessity of including such interactions in NPF modeling.
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