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Simulation of the photodetachment spectra of the nitrate anion (NO3-) in the B̃ 2E' energy range and non-adiabatic electronic population dynamics of NO3.
Williams, David M G; Eisfeld, Wolfgang; Viel, Alexandra.
Afiliação
  • Williams DMG; Department of Chemistry and The PULSE Institute, Stanford University, Stanford, California 94305, USA. mgw@stanford.edu.
  • Eisfeld W; SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA.
  • Viel A; Theoretische Chemie, Universität Bielefeld, Postfach 100131, D-33501 Bielefeld, Germany. wolfgang.eisfeld@uni-bielefeld.de.
Phys Chem Chem Phys ; 24(40): 24706-24713, 2022 Oct 19.
Article em En | MEDLINE | ID: mdl-35920683
The photodetachment spectrum of the nitrate anion (NO3-) in the energy range of the NO3 second excited state is simulated from first principles using quantum wave packet dynamics. The prediction at 10 K and 435 K relies on the use of an accurate full-dimensional fully coupled five state diabatic potential model utilizing an artificial neural network. The ability of this model to reproduce experimental spectra was demonstrated recently for the lower energy range [A. Viel, D. M. G. Williams and W. Eisfeld, J. Chem. Phys. 2021, 154, 084302]. Analysis of the spectra indicates a weaker Jahn-Teller coupling compared to the first excited state. The detailed non-adiabatic dynamics is studied by computing the population dynamics. An ultra-fast non-statistical radiationless decay is found only among the Jahn-Teller components, which is followed by a slow statistical non-radiative decay among the different state manifolds. The latter is reproduced perfectly by a simple first order kinetics model. The dynamics in the second excited state is not affected by the presence of a conical intersection with the first excited state manifold.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article