Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3267
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dc.contributor.authorKUMAR, ANANDen_US
dc.contributor.authorDuran, Miquelen_US
dc.contributor.authorSola, Miquelen_US
dc.date.accessioned2019-07-01T05:35:13Z
dc.date.available2019-07-01T05:35:13Z
dc.date.issued2017-07en_US
dc.identifier.citationJournal of Computational Chemistry, 38(18), 1606-1611.en_US
dc.identifier.issn0192-8651en_US
dc.identifier.issn1096-987Xen_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3267-
dc.identifier.urihttps://doi.org/10.1002/jcc.24801en_US
dc.description.abstractThe bonding patterns in coronene are complicated and controversial as denoted by the lack of consensus of how its electronic structure should be described. Among the different proposed descriptions, the two most representative are those generated by Clar's aromatic π‐sextet and adaptative natural density partitioning (AdNDP) models. Quantum‐chemical calculations at the density functional theory level are performed to evaluate the model that gives a better representation of coronene. To this end, we analyse the molecular structure of coronene, we estimate the aromaticity of its inner and outer rings using various local aromaticity descriptors, and we assess its chemical reactivity from the study of the Diels–Alder reaction with cyclopentadiene. Results obtained are compared with those computed for naphthalene and phenanthrene. Our conclusion is that Clar's π‐sextet model provides the representation of coronene that better describes the physicochemical behavior of this molecule. © 2017 Wiley Periodicals, Inc.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.subjectCoronene betteren_US
dc.subjectClar's aromatic π‐sextet modelen_US
dc.subjectAdNDP representationen_US
dc.subjectAromaticityen_US
dc.subject2017en_US
dc.titleIs coronene better described by Clar's aromatic π‐sextet model or by the AdNDP representation?en_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Chemistryen_US
dc.identifier.sourcetitleJournal of Computational Chemistryen_US
dc.publication.originofpublisherForeignen_US
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