Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorArnold, Richard
dc.contributor.authorJupp, Peter Edmund
dc.contributor.authorSchaeben, Helmut
dc.date.accessioned2023-06-01T11:30:08Z
dc.date.available2023-06-01T11:30:08Z
dc.date.issued2023-06-01
dc.identifier284055930
dc.identifier41a66ef3-427b-4007-96f0-b8ce645d0d44
dc.identifier85185542191
dc.identifier.citationArnold , R , Jupp , P E & Schaeben , H 2023 , ' Orientation relationships, orientational variants and the embedding approach ' , Journal of Applied Crystallography , vol. 56 , AP5046 , pp. 725–736 . https://doi.org/10.1107/s1600576723003187en
dc.identifier.issn0021-8898
dc.identifier.otherORCID: /0000-0003-0973-8434/work/136288901
dc.identifier.urihttps://hdl.handle.net/10023/27723
dc.description.abstractFor phase transformations within polycrystalline materials, the connection between crystal orientations of parent grains and those of child grains is usually expressed in terms of (theoretical or measured) orientation relationships. This paper introduces a new approach to various problems associated with orientation relationships: (i) estimation, (ii) whether or not a single orientation relationship fits the data adequately, (iii) whether or not a set of children comes from a common parent, (iv) reconstruction of a parent or of grain boundaries. The approach is an extension to the crystallographic context of the well-established embedding approach to directional statistics. It is inherently statistical, producing precise probabilistic statements. Explicit coordinate systems are not used and arbitrary thresholds are avoided.
dc.format.extent12
dc.format.extent1620032
dc.language.isoeng
dc.relation.ispartofJournal of Applied Crystallographyen
dc.subjectOrientation relationshipsen
dc.subjectVariantsen
dc.subjectDeterminationen
dc.subjectReconstructionen
dc.subjectDirectional statisticsen
dc.subjectQD Chemistryen
dc.subjectT-NDASen
dc.subjectMCCen
dc.subject.lccQDen
dc.titleOrientation relationships, orientational variants and the embedding approachen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.identifier.doi10.1107/s1600576723003187
dc.description.statusPeer revieweden


This item appears in the following Collection(s)

Show simple item record