Differentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processes

Hongmei Liu; Tat Leung Chan

doi:10.1016/j.partic.2017.04.002

Differentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processes

Hongmei Liu, Tat Leung Chan

Research output: Journal article publication › Journal article › Academic research › peer-review

15 Citations (Scopus)

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.

Original language	English
Pages (from-to)	114-126
Number of pages	13
Journal	Particuology
Volume	36
DOIs	https://doi.org/10.1016/j.partic.2017.04.002
Publication status	Published - 1 Feb 2018

Keywords

Aerosol dynamics
Differentially weighted Monte Carlo
Operator splitting
Particle size distribution

ASJC Scopus subject areas

Chemical Engineering(all)
Materials Science(all)

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10.1016/j.partic.2017.04.002

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title = "Differentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processes",

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.",

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AU - Chan, Tat Leung

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N2 - 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.

AB - 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.

KW - Aerosol dynamics

KW - Differentially weighted Monte Carlo

KW - Operator splitting

KW - Particle size distribution

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M3 - Journal article

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JO - Particuology

JF - Particuology

ER -

Differentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processes

Abstract

Keywords

ASJC Scopus subject areas

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