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dc.contributor.authorChen, Ying
dc.contributor.authorSchuh, Christopher A.
dc.date.accessioned2016-05-03T00:20:17Z
dc.date.available2016-05-03T00:20:17Z
dc.date.issued2015-07
dc.date.submitted2015-06
dc.identifier.issn18626300
dc.identifier.issn1862-6319
dc.identifier.urihttp://hdl.handle.net/1721.1/102365
dc.description.abstractA local spatial autocorrelation-based modeling method is developed to reconstruct nanoscale grain structures in nanocrystalline materials from atom probe tomography (APT) data, which provide atomic positions and species, with minimal noise. Using a nanocrystalline alloy with an average grain size of 16 nm as a model material, we reconstruct the three-dimensional grain boundary network by carrying out two series of APT data quantization using ellipsoidal binning, the first probing the anisotropy in the apparent local atomic density and the second quantifying the local spatial autocorrelation. This approach enables automatic and efficient quantification and visualization of grain structure in a large volume and at the finest nanoscale grain sizes, and provides a means for correlating local chemistry with grain boundaries or triple junctions in nanocrystalline materials. Nanoscale grain boundary networks are reconstructed from atom probe tomography data, which provide atomic positions and species for a fraction of atoms within a nanocrystalline material with an average grain size of 16 nm, using a quantization and local spatial autocorrelation-based approach.en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Institute for Soldier Nanotechnologies (Grant W911NF-14-1-0539)en_US
dc.language.isoen_US
dc.publisherWiley Blackwellen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/pssa.201532236en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Schuh via Angie Locknaren_US
dc.titleGrain boundary networks in nanocrystalline alloys from atom probe tomography quantization and autocorrelation mappingen_US
dc.typeArticleen_US
dc.identifier.citationChen, Ying, and Christopher A. Schuh. “Grain Boundary Networks in Nanocrystalline Alloys from Atom Probe Tomography Quantization and Autocorrelation Mapping.” Physica Status Solidi (a) 212, no. 10 (July 14, 2015): 2302–2308.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineeringen_US
dc.contributor.mitauthorSchuh, Christopher A.en_US
dc.relation.journalphysica status solidi (a)en_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
dspace.orderedauthorsChen, Ying; Schuh, Christopher A.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-9856-2682
mit.licenseOPEN_ACCESS_POLICYen_US


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