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Grain boundary networks and shape preferred orientation – : A fresh angle on pattern quantification with GBPaQ

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dc.contributor.authorHeeb, Johanna
dc.contributor.authorHealy, David
dc.contributor.authorTimms, Nicholas E.
dc.contributor.authorGomez-Rivas, Enrique
dc.contributor.institutionUniversity of Aberdeen.Geosciencesen
dc.contributor.institutionUniversity of Aberdeen.Geology and Geophysicsen
dc.date.accessioned2023-05-15T14:34:01Z
dc.date.available2023-05-15T14:34:01Z
dc.date.issued2023-05
dc.descriptionFunding Information: The author acknowledges support from an Aberdeen-Curtin Alliance International Postgraduate Scholarship and a Curtin Publication Grant. The author thanks Chris Elders for supervision throughout this project, the PhD thesis examiners Thomas Blenkinsop, Steve Reddy, Mark Jessell, and Ian Alsop for their contributions to this work, the two referees, who gave valuable input for this publication, and Isabel Zutterkirch for helpful discussions. David Healy acknowledges funding from the UKRI NERC grant NE/T007826/1 . Enrique Gomez-Rivas acknowledges the “Ramón y Cajal” fellowship RYC2018-026335-I , funded by the Spanish Ministry of Science and Innovation (MCIN) / State Research Agency of Spain (AEI) / European Regional Development Fund (ERDF) / 10.13039/501100011033 , the DGICYT research project PID2020-585 118999GB-I00 , funded by the Spanish Ministry of Science and Innovation (MCIN) / State Research Agency of Spain (AEI) / 10.13039/501100011033 , and the Grup Consolidat de Recerca “Geologia Sedimentària” ( 2021 SGR-Cat 00349 ), funded by the Catalan Council .. Publisher Copyright: © 2023 The Authorsen
dc.description.statusPeer revieweden
dc.format.extent8739012
dc.identifier236545332
dc.identifierbb4181b9-778e-42b1-b151-3e58c833d80e
dc.identifier85149441508
dc.identifier.citationHeeb, J, Healy, D, Timms, N E & Gomez-Rivas, E 2023, 'Grain boundary networks and shape preferred orientation – : A fresh angle on pattern quantification with GBPaQ', Computers and Geosciences, vol. 174, 105311. https://doi.org/10.1016/j.cageo.2023.105311en
dc.identifier.doi10.1016/j.cageo.2023.105311
dc.identifier.issn0098-3004
dc.identifier.urihttps://hdl.handle.net/2164/20728
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85149441508&partnerID=8YFLogxKen
dc.identifier.vol174en
dc.language.isoeng
dc.relation.ispartofComputers and Geosciencesen
dc.subjectGBPaQ toolboxen
dc.subjectGrain boundary pattern symmetryen
dc.subjectIntercept-based quantificationen
dc.subjectShape preferred orientationen
dc.subjectStrain evolutionen
dc.subjectQE Geologyen
dc.subjectQ Scienceen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectInformation Systemsen
dc.subjectComputers in Earth Sciencesen
dc.subjectSupplementary Dataen
dc.subject.lccQEen
dc.subject.lccQen
dc.subject.lccQA75en
dc.titleGrain boundary networks and shape preferred orientation – : A fresh angle on pattern quantification with GBPaQen
dc.typeJournal articleen

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