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dc.contributor.authorJohnson, Oliver K.
dc.contributor.authorLi, Lin
dc.contributor.authorDemkowicz, Michael J.
dc.contributor.authorSchuh, Christopher A.
dc.date.accessioned2016-06-23T14:00:28Z
dc.date.available2016-06-23T14:00:28Z
dc.date.issued2015-07
dc.date.submitted2015-04
dc.identifier.issn0022-2461
dc.identifier.issn1573-4803
dc.identifier.urihttp://hdl.handle.net/1721.1/103286
dc.description.abstractGrain boundaries strongly affect many materials properties in polycrystalline materials. However, very few structure-property models exist for grain boundaries, due in large part to the complicated and poorly understood way in which the properties of grain boundaries vary with their crystallographic structure. In the present work, we infer grain boundary structure-property correlations from measurements of the effective properties of a polycrystal. We refer to this approach as grain boundary properties localization. We apply this technique to a simple model system of grain boundary diffusivity in a two-dimensional microstructure, and infer the properties of low- and high-angle grain boundaries from the effective diffusivity of the grain boundary network. The generalization and use of these methods could greatly reduce the computational and experimental effort required to establish structure-property correlations for grain boundaries. More broadly, the technique of properties localization could be used to infer the properties of many microstructural constituents in complex microstructures.en_US
dc.description.sponsorshipUnited States. Dept. of Energy. Office of Basic Energy Sciences (Award No. DE-SC0008926)en_US
dc.description.sponsorshipUnited States. Dept. of Defense (National Defense Science and Engineering Graduate (NDSEG) Fellowship Program)en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10853-015-9241-4en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer USen_US
dc.titleInferring grain boundary structure–property relations from effective property measurementsen_US
dc.typeArticleen_US
dc.identifier.citationJohnson, Oliver K., Lin Li, Michael J. Demkowicz, and Christopher A. Schuh. "Inferring grain boundary structure–property relations from effective property measurements." Journal of Materials Science 50:21 (November 2015), pp. 6907-6919.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineeringen_US
dc.contributor.mitauthorDemkowicz, Michael J.en_US
dc.contributor.mitauthorSchuh, Christopher A.en_US
dc.relation.journalJournal of Materials Scienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-05-23T12:15:26Z
dc.language.rfc3066en
dc.rights.holderSpringer Science+Business Media New York
dspace.orderedauthorsJohnson, Oliver K.; Li, Lin; Demkowicz, Michael J.; Schuh, Christopher A.en_US
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0001-9856-2682
dc.identifier.orcidhttps://orcid.org/0000-0003-3949-0441
mit.licenseOPEN_ACCESS_POLICYen_US


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