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Benchmarking an improved statistical adiabatic channel model for competing inelastic and reactive processes.
Konings, Maarten; Desrousseaux, Benjamin; Lique, François; Loreau, Jérôme.
Afiliação
  • Konings M; KU Leuven, Division of Quantum Chemistry and Physical Chemistry, Department of Chemistry, Celestijnenlaan 200F, 3001 Leuven, Belgium.
  • Desrousseaux B; Université de Rennes 1, CNRS, IPR (Institut de Physique de Rennes) - UMR 6251, F-35000 Rennes, France.
  • Lique F; Université de Rennes 1, CNRS, IPR (Institut de Physique de Rennes) - UMR 6251, F-35000 Rennes, France.
  • Loreau J; KU Leuven, Division of Quantum Chemistry and Physical Chemistry, Department of Chemistry, Celestijnenlaan 200F, 3001 Leuven, Belgium.
J Chem Phys ; 155(10): 104302, 2021 Sep 14.
Article em En | MEDLINE | ID: mdl-34525820
ABSTRACT
Inelastic collisions and elementary chemical reactions proceeding through the formation and subsequent decay of an intermediate collision complex, with an associated deep well on the potential energy surface, pose a challenge for accurate fully quantum mechanical approaches, such as the close-coupling method. In this study, we report on the theoretical prediction of temperature-dependent state-to-state rate coefficients for these complex-mode processes, using a statistical quantum method. This statistical adiabatic channel model is benchmarked by a direct comparison using accurate rate coefficients from the literature for a number of systems (H2 + H+, HD + H+, SH+ + H, and CH+ + H) of interest in astrochemistry and astrophysics. For all of the systems considered, an error of less than factor 2 was found, at least for the dominant transitions and at low temperatures, which is sufficiently accurate for applications in the above mentioned disciplines.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article