Projects per year
Abstract
The nucleation of sulphuric acid molecules plays a key role in the formation of aerosols. We here present a three dimensional particle Monte Carlo model to study the growth of sulphuric acid clusters as well as its dependence on the ambient temperature and the initial particle density. We initiate a swarm of sulphuric acid–water clusters with a size of 0.329 nm with densities between 107 and and 108 cm-3 at temperatures between 200 and 300 K and a relative humidity of 50%. After every time step, we update the position of particles as a function of size-dependent diffusion coefficients. If two particles encounter, we merge them and add their volumes and masses. Inversely, we check after every time step whether a polymer evaporates liberating a molecule. We present the spatial distribution as well as the size distribution calculated from individual clusters. We also calculate the nucleation rate of clusters with a radius of 0.85 nm as a function of time, initial particle density and temperature. The nucleation rates obtained from the presented model agree well with experimentally obtained values and those of a numerical model which serves as a benchmark of our code. In contrast to previous nucleation models, we here present for the first time a code capable of tracing individual particles and thus of capturing the physics related to the discrete nature of particles.
Original language | English |
---|---|
Journal | Journal of Computational Physics |
Volume | 363 |
Pages (from-to) | 30-38 |
ISSN | 0021-9991 |
DOIs | |
Publication status | Published - 2018 |
Bibliographical note
©2018 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/).Keywords
- Aerosols
- Diffusion approach
- Evaporation
- Monte Carlo particle modelling
- Nucleation
- Size distribution
Fingerprint
Dive into the research topics of 'A 3D particle Monte Carlo approach to studying nucleation'. Together they form a unique fingerprint.Projects
- 1 Finished
-
COFUNDPostdocDTU: COFUNDPostdocDTU
Præstrud, M. R. & Brodersen, S. W.
01/01/2014 → 31/12/2019
Project: Research