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Local Dynamics of Excitations in Glassy Liquids

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dc.contributor.authorLee, Hyun Taek-
dc.contributor.authorLandy, Jonathan-
dc.contributor.authorKim, Jaeup U.-
dc.contributor.authorJho, YongSeok-
dc.date.accessioned2022-12-26T12:46:21Z-
dc.date.available2022-12-26T12:46:21Z-
dc.date.issued2020-06-
dc.identifier.issn0374-4884-
dc.identifier.issn1976-8524-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/6534-
dc.description.abstractIn this study, we propose new elementary processes of the excitation dynamics in glassy liquids, which trigger the structural rearrangement in a local and isolated region known as the cooperative rearrangement region. We identify the existence of primary particles which facilitate local dynamics by using a machine learning technique and a time series analysis. The local soft domains are established by a few soft particles that hop between local energy basins. While particles in contact with these primary soft particles respond non-linearly, other particles not in direct contact with them respond linearly as elastic materials.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisher한국물리학회-
dc.titleLocal Dynamics of Excitations in Glassy Liquids-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.3938/jkps.76.1076-
dc.identifier.scopusid2-s2.0-85087207242-
dc.identifier.wosid000544664600006-
dc.identifier.bibliographicCitationJournal of the Korean Physical Society, v.76, no.12, pp 1076 - 1082-
dc.citation.titleJournal of the Korean Physical Society-
dc.citation.volume76-
dc.citation.number12-
dc.citation.startPage1076-
dc.citation.endPage1082-
dc.type.docTypeArticle-
dc.identifier.kciidART002603338-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryPhysics, Multidisciplinary-
dc.subject.keywordPlusRELAXATION-
dc.subject.keywordPlusMOTION-
dc.subject.keywordAuthorGlassy liquids-
dc.subject.keywordAuthorExcitation-
dc.subject.keywordAuthorSoft domains-
dc.subject.keywordAuthorMachine learning-
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