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dc.contributor.authorChun, MS-
dc.date.accessioned2024-01-21T08:10:01Z-
dc.date.available2024-01-21T08:10:01Z-
dc.date.created2021-09-03-
dc.date.issued2003-10-
dc.identifier.issn1598-5032-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/138211-
dc.description.abstractBy applying a configurational-bias Gibbs ensemble Monte Carlo algorithm, priority simulation results regarding the conformation of non-dilute polyelectrolytes in solvents are obtained. Solutions of freely-jointed chains are considered, and a new method termed strandwise configurational-bias sampling is developed so as to effectively overcome a difficulty on the transfer of polymer chains. The structure factors of polyelectrolytes in the bulk as well as in the confined space are estimated with variations of the polymer charge density.-
dc.languageEnglish-
dc.publisherPOLYMER SOC KOREA-
dc.titleA novel simulation architecture of configurational-bias Gibbs ensemble Monte Carlo for the conformation of polyelectrolytes partitioned in confined spaces-
dc.typeArticle-
dc.identifier.doi10.1007/BF03218382-
dc.description.journalClass1-
dc.identifier.bibliographicCitationMACROMOLECULAR RESEARCH, v.11, no.5, pp.393 - 397-
dc.citation.titleMACROMOLECULAR RESEARCH-
dc.citation.volume11-
dc.citation.number5-
dc.citation.startPage393-
dc.citation.endPage397-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.identifier.kciidART000980570-
dc.identifier.wosid000220056400016-
dc.identifier.scopusid2-s2.0-0242606844-
dc.relation.journalWebOfScienceCategoryPolymer Science-
dc.relation.journalResearchAreaPolymer Science-
dc.type.docTypeArticle-
dc.subject.keywordAuthorpolyelectrolyte-
dc.subject.keywordAuthorconfigurational-bias-
dc.subject.keywordAuthorGibbs ensemble Monte Carlo-
dc.subject.keywordAuthorchain conformation-
dc.subject.keywordAuthorstructure factor-
dc.subject.keywordAuthorDebye-Huckel interaction-
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