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http://hdl.handle.net/10397/106503
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. |
Appears in Collections: | Journal/Magazine Article |
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Liu_Differentially_Weighted_Operator.pdf | Pre-Published version | 1.42 MB | Adobe PDF | View/Open |
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