Evolutionary Algorithm-based Crystal Structure Prediction for Gold(I) Fluoride

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorEklund, Kimen_US
dc.contributor.authorKuklin, Mikhail S.en_US
dc.contributor.authorKraus, Florianen_US
dc.contributor.authorKarttunen, Antti J.en_US
dc.contributor.departmentDepartment of Chemistry and Materials Scienceen
dc.contributor.groupauthorInorganic Materials Modellingen
dc.contributor.organizationUniversity of Marburgen_US
dc.date.accessioned2021-01-25T10:15:54Z
dc.date.available2021-01-25T10:15:54Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2021-01-10en_US
dc.date.issued2020-04-20en_US
dc.description.abstractSolid gold(I) fluoride remains as an unsynthesized and uncharacterized compound. We have performed a search for potential gold(I) fluoride crystal structures using USPEX evolutionary algorithm and dispersion-corrected hybrid density functional methods. Over 4000 AuF crystal structures have been investigated. Behavior of the AuF crystal structures under pressure was studied up to 25 GPa, and we also evaluated the thermodynamic stability of the hypothetical AuF crystal structures with respect to AuF3, AuF5, and Au3F8. Mixed-valence compound Au3[AuF4] with Au atoms in various formal oxidation states emerged as the thermodynamically most stable AuF species.en
dc.description.versionPeer revieweden
dc.format.extent7
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationEklund, K, Kuklin, M S, Kraus, F & Karttunen, A J 2020, 'Evolutionary Algorithm-based Crystal Structure Prediction for Gold(I) Fluoride', ChemPhysChem, vol. 21, no. 8, pp. 802-808. https://doi.org/10.1002/cphc.201901070en
dc.identifier.doi10.1002/cphc.201901070en_US
dc.identifier.issn1439-4235
dc.identifier.issn1439-7641
dc.identifier.otherPURE UUID: a332fb4b-60c2-422c-aab3-eeb7c3e701e9en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/a332fb4b-60c2-422c-aab3-eeb7c3e701e9en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/43442039/CHEM_Eklund_et_al_2020_Evolutionary_Algorithm_based_ChemPhysChem.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/102223
dc.identifier.urnURN:NBN:fi:aalto-202101251533
dc.language.isoenen
dc.publisherWiley
dc.relation.fundinginfoWe thank Dr. Sergei Ivlev (Philipps‐Universität Marburg) for very helpful discussions on binary gold fluorides. The work has been funded by the Academy of Finland (grant no. 317273). Computational resources were provided by CSC, the Finnish IT Center for Science. , , ,
dc.relation.ispartofseriesChemPhysChemen
dc.relation.ispartofseriesVolume 21, issue 8, pp. 802-808en
dc.rightsopenAccessen
dc.subject.keywordaurophilicityen_US
dc.subject.keyworddensity functional calculationsen_US
dc.subject.keywordfluoridesen_US
dc.subject.keywordgolden_US
dc.subject.keywordstructure elucidationen_US
dc.titleEvolutionary Algorithm-based Crystal Structure Prediction for Gold(I) Fluorideen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion

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