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dc.contributor.authorHøyvik, Ida-Marie
dc.contributor.authorJansík, Branislav
dc.contributor.authorJørgensen, Poul
dc.date.accessioned2013-07-24T08:29:51Z
dc.date.available2013-07-24T08:29:51Z
dc.date.issued2013
dc.identifier.citationJournal of Computational Chemistry. 2013, vol. 34, issue 17, p. 1456-1462.cs
dc.identifier.issn0192-8651
dc.identifier.issn1096-987X
dc.identifier.urihttp://hdl.handle.net/10084/100593
dc.description.abstractRecent advances in orbital localization algorithms are used to minimize the Pipek–Mezey localization function for both occupied and virtual Hartree–Fock orbitals. Virtual Pipek–Mezey orbitals for large molecular systems have previously not been considered in the literature. For this work, the Pipek–Mezey (PM) localization function is implemented for both the Mulliken and a Löwdin population analysis. The results show that the standard PM localization function (using either Mulliken or Löwdin population analyses) may yield local occupied orbitals, although for some systems the occupied orbitals are only semilocal as compared to state-of-the-art localized occupied orbitals. For the virtual orbitals, a Löwdin population analysis shows improvement in locality compared to a Mulliken population analysis, but for both Mulliken and Löwdin population analyses, the virtual orbitals are seen to be considerably less local compared to state-of-the-art localized orbitals.cs
dc.language.isoencs
dc.publisherWileycs
dc.relation.ispartofseriesJournal of Computational Chemistrycs
dc.relation.urihttps://doi.org/10.1002/jcc.23281cs
dc.subjectlocal orbitalscs
dc.subjectPipek–Mezeycs
dc.subjecttrust region optimizationcs
dc.subjectLöwdin population analysiscs
dc.subjectMulliken population analysiscs
dc.titlePipek–Mezey localization of occupied and virtual orbitalscs
dc.typearticlecs
dc.identifier.locationNení ve fondu ÚKcs
dc.identifier.doi10.1002/jcc.23281
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume34cs
dc.description.issue17cs
dc.description.lastpage1462cs
dc.description.firstpage1456cs
dc.identifier.wos000319404800003


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