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On the magnetic circular dichroism of benzene. A density-functional study.
Kaminský, Jakub; Kríz, Jan; Bour, Petr.
Afiliação
  • Kaminský J; Institute of Organic Chemistry and Biochemistry, Academy of Sciences, Flemingovo Námestí 2, 16610 Prague, Czech Republic.
  • Kríz J; Institute of Organic Chemistry and Biochemistry, Academy of Sciences, Flemingovo Námestí 2, 16610 Prague, Czech Republic.
  • Bour P; Institute of Organic Chemistry and Biochemistry, Academy of Sciences, Flemingovo Námestí 2, 16610 Prague, Czech Republic.
J Chem Phys ; 146(14): 144301, 2017 Apr 14.
Article em En | MEDLINE | ID: mdl-28411621
ABSTRACT
Spectroscopy of magnetic circular dichroism (MCD) provides enhanced information on molecular structure and a more reliable assignment of spectral bands than absorption alone. Theoretical modeling can significantly enhance the information obtained from experimental spectra. In the present study, the time dependent density functional theory is employed to model the lowest-energy benzene transitions, in particular to investigate the role of the Rydberg states and vibrational interference in spectral intensities. The effect of solvent is explored on model benzene-methane clusters. For the lowest-energy excitation, the vibrational sub-structure of absorption and MCD spectra is modeled within the harmonic approximation, providing a very good agreement with the experiment. The simulations demonstrate that the Rydberg states have a much stronger effect on the MCD intensities than on the absorption, and a very diffuse basis set must be used to obtain reliable results. The modeling also indicates that the Rydberg-like states and associated transitions may persist in solutions. Continuum-like solvent models are thus not suitable for their modeling; solvent-solute clusters appear to be more appropriate, providing they are large enough.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article