Multiscale modeling of polycrystalline graphene: A comparison of structure and defect energies of realistic samples from phase field crystal models

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorHirvonen, Petrien_US
dc.contributor.authorErvasti, Mikko M.en_US
dc.contributor.authorFan, Zheyongen_US
dc.contributor.authorJalalvand, Mortezaen_US
dc.contributor.authorSeymour, Matthewen_US
dc.contributor.authorVaez Allaei, S. Mehdien_US
dc.contributor.authorProvatas, Nikolasen_US
dc.contributor.authorHarju, Arien_US
dc.contributor.authorElder, Ken R.en_US
dc.contributor.authorAla-Nissilä, Tapioen_US
dc.contributor.departmentDepartment of Applied Physicsen
dc.contributor.groupauthorMultiscale Statistical and Quantum Physicsen
dc.contributor.groupauthorQuantum Many-Body Physicsen
dc.contributor.organizationInstitute for Advanced Studies in Basic Sciences, Zanjanen_US
dc.contributor.organizationMcGill Universityen_US
dc.contributor.organizationUniversity of Tehranen_US
dc.date.accessioned2016-10-13T06:05:50Z
dc.date.issued2016-07-11en_US
dc.description.abstractWe extend the phase field crystal (PFC) framework to quantitative modeling of polycrystalline graphene. PFC modeling is a powerful multiscale method for finding the ground state configurations of large realistic samples that can be further used to study their mechanical, thermal, or electronic properties. By fitting to quantum-mechanical density functional theory (DFT) calculations, we show that the PFC approach is able to predict realistic formation energies and defect structures of grain boundaries. We provide an in-depth comparison of the formation energies between PFC, DFT, and molecular dynamics (MD) calculations. The DFT and MD calculations are initialized using atomic configurations extracted from PFC ground states. Finally, we use the PFC approach to explicitly construct large realistic polycrystalline samples and characterize their properties using MD relaxation to demonstrate their quality.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationHirvonen, P, Ervasti, M M, Fan, Z, Jalalvand, M, Seymour, M, Vaez Allaei, S M, Provatas, N, Harju, A, Elder, K R & Ala-Nissilä, T 2016, 'Multiscale modeling of polycrystalline graphene : A comparison of structure and defect energies of realistic samples from phase field crystal models', Physical Review B, vol. 94, no. 3, 035414, pp. 1-17. https://doi.org/10.1103/PhysRevB.94.035414en
dc.identifier.doi10.1103/PhysRevB.94.035414en_US
dc.identifier.issn1098-0121
dc.identifier.issn2469-9969
dc.identifier.otherPURE UUID: 73a6f4b4-62a7-449b-829d-c71b3fce5220en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/73a6f4b4-62a7-449b-829d-c71b3fce5220en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/6675086/PhysRevB.94.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/22903
dc.identifier.urnURN:NBN:fi:aalto-201610135003
dc.language.isoenen
dc.publisherAmerican Physical Society
dc.relation.ispartofseriesPhysical Review Ben
dc.relation.ispartofseriesVolume 94, issue 3, pp. 1-17en
dc.rightsopenAccessen
dc.titleMultiscale modeling of polycrystalline graphene: A comparison of structure and defect energies of realistic samples from phase field crystal modelsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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