A comparative analysis by means of quantum molecular similarity measures of density distributions derived from conventional ab initio and density functional methods
dc.contributor.author
dc.date.accessioned
2011-03-28T08:20:47Z
dc.date.available
2010-12-14T12:55:42Z
2011-03-28T08:20:47Z
dc.date.issued
1996
dc.identifier.citation
Solà, M., Mestres, J., Carbó, R., i Duran, M. (1996). A comparative analysis by means of quantum molecular similarity measures of density distributions derived from conventional ab initio and density functional methods. Journal of Chemical Physics, 104 (2), 636-647. Recuperat 28 març 2011, a http://link.aip.org/link/doi/10.1063/1.470859
dc.identifier.issn
0021-9606
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dc.description.abstract
A procedure based on quantum molecular similarity measures (QMSM) has been used to compare electron densities obtained from conventional ab initio and density functional methodologies at their respective optimized geometries. This method has been applied to a series of small molecules which have experimentally known properties and molecular bonds of diverse degrees of ionicity and covalency. Results show that in most cases the electron densities obtained from density functional methodologies are of a similar quality than post-Hartree-Fock generalized densities. For molecules where Hartree-Fock methodology yields erroneous results, the density functional methodology is shown to yield usually more accurate densities than those provided by the second order Møller-Plesset perturbation theory
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application/pdf
dc.language.iso
eng
dc.publisher
American Institute of Physics
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Reproducció digital del document publicat a: http://dx.doi.org/10.1063/1.470859
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© Journal of Chemical Physics, 1996, vol. 104, núm. 2, p. 636-647
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Articles publicats (D-Q)
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Tots els drets reservats
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dc.title
A comparative analysis by means of quantum molecular similarity measures of density distributions derived from conventional ab initio and density functional methods
dc.type
info:eu-repo/semantics/article
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info:eu-repo/semantics/openAccess
dc.identifier.doi
dc.identifier.idgrec
002835
dc.identifier.eissn
1089-7690