Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106480
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Title: Two-component aerosol dynamic simulation using differentially weighted operator splitting Monte Carlo method
Authors: Liu, HM 
Chan, TL 
Issue Date: Oct-2018
Source: Applied mathematical modelling, Oct. 2018, v. 62, p. 237-253
Abstract: A differentially weighted operator splitting Monte Carlo (DWOSMC) method is further developed to study multi-component aerosol dynamics. The proposed method involves the use of an excellent combination of stochastic and deterministic approaches. Component-related particle volume density distributions are examined, and the computational accuracy and efficiency of the two-component DWOSMC method is verified against a sectional method. For the one-component aerosol system, the sectional method is more computationally efficient than the DWOSMC method, while for two-component aerosol systems, the DWOSMC method proves to be much more computationally efficient than the sectional method. Using this newly developed multi-component DWOSMC method, compositional distributions of particles can be obtained to determine simultaneous coagulation and condensation processes that occur in different regimes of two-component aerosol systems.
Keywords: Aerosol dynamics
Compositional distribution
Computational efficiency
Differentially weighted operator splitting Monte Carlo
Multi-component
Publisher: Elsevier Inc.
Journal: Applied mathematical modelling 
ISSN: 0307-904X
EISSN: 1872-8480
DOI: 10.1016/j.apm.2018.05.033
Rights: © 2018 Elsevier Inc. All rights reserved.
© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Liu, H. M., & Chan, T. L. (2018). Two-component aerosol dynamic simulation using differentially weighted operator splitting Monte Carlo method. Applied Mathematical Modelling, 62, 237-253 is available at https://doi.org/10.1016/j.apm.2018.05.033.
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