Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106503
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Title: Differentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processes
Authors: Liu, H 
Chan, TL 
Issue Date: Feb-2018
Source: Particuology, Feb. 2018, v. 36, p. 114-126
Abstract: A differentially weighted operator splitting Monte Carlo (DWOSMC) method is developed to solve complex aerosol dynamic processes by coupling the differentially weighted Monte Carlo method and the operator splitting technique. This method is validated by analytical solutions and a sectional method in different aerosol dynamic processes. It is first validated in coagulation and condensation processes, and nucleation and coagulation processes, and then validated through simultaneous nucleation, coagulation, and condensation processes. The results show that the DWOSMC method is a computationally efficient and quantitatively accurate method for simulating complex aerosol dynamic processes.
Keywords: Aerosol dynamics
Differentially weighted Monte Carlo
Operator splitting
Particle size distribution
Publisher: Elsevier BV
Journal: Particuology 
ISSN: 1674-2001
EISSN: 2210-4291
DOI: 10.1016/j.partic.2017.04.002
Rights: © 2017 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
© 2017. 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., & Chan, T. L. (2018). Differentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processes. Particuology, 36, 114-126 is available at https://doi.org/10.1016/j.partic.2017.04.002.
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