Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/53402
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dc.contributor.authorAddicoat, M.-
dc.contributor.authorMetha, G.-
dc.date.issued2009-
dc.identifier.citationJournal of Computational Chemistry, 2009; 30(1):57-64-
dc.identifier.issn0192-8651-
dc.identifier.issn1096-987X-
dc.identifier.urihttp://hdl.handle.net/2440/53402-
dc.descriptionCopyright © 2009 Wiley Periodicals, Inc. Available online 27 May 2008-
dc.description.abstractAn extension of the Kick program developed by Bera et al. (J Phys Chem A 2006, 110, 4287) is described in which chemically sensible molecular fragments are used in an automated stochastic search algorithm. This results in a vastly reduced region of the potential energy surface which can be explored very quickly. We present use of this modified algorithm to the search for low-lying isomers, and we present candidates for the global energy minimum, for a range of chemical systems. We highlight the usefulness of this procedure for exploring reactions of molecules with transition metal clusters and to the microsolvation of a small dipeptide.-
dc.description.statementofresponsibilityMatthew A. Addicoat and Gregory F. Metha-
dc.language.isoen-
dc.publisherJohn Wiley & Sons Inc-
dc.source.urihttp://dx.doi.org/10.1002/jcc.21026-
dc.subjectstochastic search algorithm-
dc.subjectpotential energy surface-
dc.subjectmetal cluster reactions-
dc.subjectmicrosolvation-
dc.titleKick: Constraining a stochastic search procedure with molecular fragments-
dc.typeJournal article-
dc.identifier.doi10.1002/jcc.21026-
pubs.publication-statusPublished-
dc.identifier.orcidMetha, G. [0000-0003-1094-0947]-
Appears in Collections:Aurora harvest
Chemistry publications
Environment Institute publications

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