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Shin, Seung-Jae
THeoretical Energy Materials Modelling for Engineering & Science
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dc.citation.endPage 2891 -
dc.citation.number 8 -
dc.citation.startPage 2883 -
dc.citation.title MATERIALS HORIZONS -
dc.citation.volume 10 -
dc.contributor.author Huang, Ju -
dc.contributor.author Shin, Seung-Jae -
dc.contributor.author Tolborg, Kasper -
dc.contributor.author Ganose, Alex -
dc.contributor.author Krenzer, Gabriel -
dc.contributor.author Walsh, Aron -
dc.date.accessioned 2024-10-07T13:35:06Z -
dc.date.available 2024-10-07T13:35:06Z -
dc.date.created 2024-10-07 -
dc.date.issued 2023-07 -
dc.description.abstract The local structures of layered covalent-organic frameworks (COFs) deviate from the average crystal structures assigned from X-ray diffraction experiments. For two prototype COFs of Tp-Azo and DAAQ-TFP, density functional theory calculations have shown that the eclipsed structure is not an energy minimum and that the internal energy is lowered for an inclined stacking arrangement. Here we explore the structural disorder of these frameworks at 300 K through molecular dynamics (MD) simulations using an on-the-fly machine learning force field (MLFF). We find that an initially eclipsed stacking mode spontaneously distorts to form a zigzag configuration that lowers the free energy of the crystal. The simulated diffraction patterns show good agreement with experimental observations. The dynamic disorder from the MLFF MD trajectories is found to persist in mesoscale MD simulations of 155 thousand atoms, giving further confidence in our conclusions. Our simulations show that the stacking behaviour of layered COFs is more complicated than previously understood. -
dc.identifier.bibliographicCitation MATERIALS HORIZONS, v.10, no.8, pp.2883 - 2891 -
dc.identifier.doi 10.1039/d3mh00314k -
dc.identifier.issn 2051-6347 -
dc.identifier.scopusid 2-s2.0-85159158381 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/84000 -
dc.identifier.wosid 000984082200001 -
dc.language 영어 -
dc.publisher ROYAL SOC CHEMISTRY -
dc.title Room-temperature stacking disorder in layered covalent-organic frameworks from machine-learning force fields -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Chemistry, Multidisciplinary; Materials Science, Multidisciplinary -
dc.relation.journalResearchArea Chemistry; Materials Science -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Stacking disorder -
dc.subject.keywordAuthor Molecular dynamics simulations -
dc.subject.keywordAuthor Machine learning force field -
dc.subject.keywordAuthor Covalent-organic frameworks -
dc.subject.keywordPlus CRYSTALLINE -
dc.subject.keywordPlus CONSTRUCTION -
dc.subject.keywordPlus PREDICTION -
dc.subject.keywordPlus ENERGY -

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