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dc.contributor.authorHill, Adam R.
dc.contributor.authorCubillas, Pablo
dc.contributor.authorGebbie-Rayet, James T.
dc.contributor.authorTrueman, Mollie
dc.contributor.authorde Bruyn, Nathan
dc.contributor.authorHarthi, Zulaikha al
dc.contributor.authorPooley, Rachel J. S.
dc.contributor.authorAttfield, Martin P.
dc.contributor.authorBlatov, Vladislav A.
dc.contributor.authorProserpio, Davide M.
dc.contributor.authorGale, Julian D.
dc.contributor.authorAkporiaye, Duncan
dc.contributor.authorArstad, Bjørnar
dc.contributor.authorAnderson, Michael W.
dc.date.accessioned2022-03-02T07:58:14Z
dc.date.available2022-03-02T07:58:14Z
dc.date.created2021-09-29T18:15:17Z
dc.date.issued2021
dc.identifier.citationChemical Science. 2021, 12 (3), 1126-1146.en_US
dc.identifier.issn2041-6520
dc.identifier.urihttps://hdl.handle.net/11250/2982272
dc.description.abstractA Monte Carlo crystal growth simulation tool, CrystalGrower, is described which is able to simultaneously model both the crystal habit and nanoscopic surface topography of any crystal structure under conditions of variable supersaturation or at equilibrium. This tool has been developed in order to permit the rapid simulation of crystal surface maps generated by scanning probe microscopies in combination with overall crystal habit. As the simulation is based upon a coarse graining at the nanoscopic level features such as crystal rounding at low supersaturation or undersaturation conditions are also faithfully reproduced. CrystalGrower permits the incorporation of screw dislocations with arbitrary Burgers vectors and also the investigation of internal point defects in crystals. The effect of growth modifiers can be addressed by selective poisoning of specific growth sites. The tool is designed for those interested in understanding and controlling the outcome of crystal growth through a deeper comprehension of the key controlling experimental parameters.en_US
dc.language.isoengen_US
dc.publisherThe Royal Society of Chemistryen_US
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleCrystalGrower: a generic computer program for Monte Carlo modelling of crystal growthen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Author(s). Published by the Royal Society of Chemistryen_US
dc.source.pagenumber1126-1146en_US
dc.source.volume12en_US
dc.source.journalChemical Scienceen_US
dc.source.issue3en_US
dc.identifier.doi10.1039/d0sc05017b
dc.identifier.cristin1940841
dc.relation.projectNorges forskningsråd: 233848en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Navngivelse-Ikkekommersiell 4.0 Internasjonal
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