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dc.contributor.authorKim, Hyojin-
dc.contributor.authorShin, Dong Yun-
dc.contributor.authorChoe, Jong Hyeak-
dc.contributor.authorCheon, Gayoung-
dc.contributor.authorYun, Hongryeol-
dc.contributor.authorLee, Jung-Hoon-
dc.contributor.authorHong, Chang Seop-
dc.date.accessioned2026-01-15T09:30:54Z-
dc.date.available2026-01-15T09:30:54Z-
dc.date.created2026-01-12-
dc.date.issued2025-12-
dc.identifier.issn1613-6810-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/154032-
dc.description.abstractSigmoidal adsorption in flexible metal-organic frameworks (MOFs) can be achieved through a dramatic phase transition from narrow to large pores; however, such a unique phenomenon, which is not induced by abrupt phase changes, has rarely been reported. We report a series of flexible Hofmann-type MOFs, CoNi-Pipe, NiNi-Pipe, and CoPd-Pipe, pillared with a dimensional (3D) piperazine linker. Owing to the rotational flexibility and 3D dimensionality of the piperazine linker, CoNi-Pipe and CoPd-Pipe exhibited Xe-induced gate opening and the corresponding sigmoidal adsorption isotherms. CoNi-Pipe revealed not only excellent Xe/Kr separation but also Xe recovery performance, attributed to the greatest linker rotation and flexibility, along with moderate Xe binding strength, as validated by the machine learning potential-based molecular dynamics simulations and van der Waals-corrected DFT calculations. Thus, this work provides an effective approach for gaining a deeper understanding of the structural dynamics in flexible frameworks and expanding the repertoire of computational studies.-
dc.languageEnglish-
dc.publisherWiley - V C H Verlag GmbbH & Co.-
dc.titleElucidating the Sigmoidal Adsorption Behavior of Xenon in Flexible Hofmann-Type MOFs Through Experiments and Molecular Dynamics with Machine Learning Potentials-
dc.typeArticle-
dc.identifier.doi10.1002/smll.202509479-
dc.description.journalClass1-
dc.identifier.bibliographicCitationSmall-
dc.citation.titleSmall-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.scopusid2-s2.0-105026181530-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.type.docTypeArticle; Early Access-
dc.subject.keywordPlusMETAL-ORGANIC FRAMEWORK-
dc.subject.keywordPlusBREATHING BEHAVIOR-
dc.subject.keywordPlusSEPARATION-
dc.subject.keywordPlusFUNCTIONALITY-
dc.subject.keywordPlusFLEXIBILITY-
dc.subject.keywordPlusCRYSTAL-
dc.subject.keywordPlusCO2-
dc.subject.keywordAuthorkinetic analysis-
dc.subject.keywordAuthormachine learning potential-
dc.subject.keywordAuthormetal-organic frameworks-
dc.subject.keywordAuthorrotational dynamics-
dc.subject.keywordAuthorsigmoidal xenon adsorption-
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KIST Article > 2025
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