Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106503
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dc.contributorDepartment of Mechanical Engineering-
dc.creatorLiu, H-
dc.creatorChan, TL-
dc.date.accessioned2024-05-09T00:53:55Z-
dc.date.available2024-05-09T00:53:55Z-
dc.identifier.issn1674-2001-
dc.identifier.urihttp://hdl.handle.net/10397/106503-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2017 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.en_US
dc.rights© 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/.en_US
dc.rightsThe 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.en_US
dc.subjectAerosol dynamicsen_US
dc.subjectDifferentially weighted Monte Carloen_US
dc.subjectOperator splittingen_US
dc.subjectParticle size distributionen_US
dc.titleDifferentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage114-
dc.identifier.epage126-
dc.identifier.volume36-
dc.identifier.doi10.1016/j.partic.2017.04.002-
dcterms.abstractA 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationParticuology, Feb. 2018, v. 36, p. 114-126-
dcterms.isPartOfParticuology-
dcterms.issued2018-02-
dc.identifier.scopus2-s2.0-85026395098-
dc.identifier.eissn2210-4291-
dc.description.validate202405 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberME-0698en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6765713en_US
dc.description.oaCategoryGreen (AAM)en_US
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