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dc.contributor.authorEhlers, Flemming J H
dc.contributor.authorDumoulin, Stephane
dc.contributor.authorHolmestad, Randi
dc.date.accessioned2018-03-07T12:19:50Z
dc.date.available2018-03-07T12:19:50Z
dc.date.created2014-06-01T18:45:36Z
dc.date.issued2014
dc.identifier.citationComputational materials science. 2014, 91 200-210.nb_NO
dc.identifier.issn0927-0256
dc.identifier.urihttp://hdl.handle.net/11250/2489233
dc.description.abstractWe extend a first principles based hierarchical multi-scale model scheme for describing a fully coherent precipitate in a host lattice to 3D simulations. As our test system, the needle-shaped main hardening Al–Mg–Si alloy precipitate β′′ is chosen. We show that computational costs do not impose practical limits on the modelling: the scheme can probe the full interface energy for physically sized and well isolated precipitates. Examining a series of energetically competitive bulk β′′ configurations, we highlight a series of results: (i) the scatter in the structural parameters for different β′′ configurations clearly exceeds experimental uncertainties also when interaction with the host lattice is taken into account. (ii) Structural and compositional β′′/Al interfaces generally coincide. This implies that precipitate stoichiometry is retained only for the two β′′ configurations with the lowest formation energy (compositions Mg5Al2Si4, Mg4Al3Si4). (iii) β′′–Mg4Al3Si4 emerges as a minimum energy configuration for large precipitates. Finally, (iv) more complete modelling, with precipitates surrounded by Al in all three dimensions, is expected to highlight a non-negligible influence of the precipitate misfit along the main growth (needle) direction.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.title3D modelling of β'' in Al-Mg-Si: towards an atomistic level ab initio based examination of a full precipitate enclosed in a host latticenb_NO
dc.typeJournal articlenb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber200-210nb_NO
dc.source.volume91nb_NO
dc.source.journalComputational materials sciencenb_NO
dc.identifier.doi10.1016/j.commatsci.2014.04.060
dc.identifier.cristin1135780
dc.relation.projectNorges forskningsråd: 205353nb_NO
dc.relation.projectNotur/NorStore: NN8068Knb_NO
dc.description.localcodeThis is a submitted manuscript of an article published by Elsevier Ltd in Computational Materials Science, 24 May 2014.nb_NO
cristin.unitcode194,66,20,0
cristin.unitnameInstitutt for fysikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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