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A scaled CIS(D) based method for the calculation of valence and core electron ionization energies.
Hanson-Heine, Magnus W D; George, Michael W; Besley, Nicholas A.
Afiliação
  • Hanson-Heine MWD; School of Chemistry, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
  • George MW; School of Chemistry, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
  • Besley NA; School of Chemistry, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
J Chem Phys ; 151(3): 034104, 2019 Jul 21.
Article em En | MEDLINE | ID: mdl-31325914
ABSTRACT
The calculation of electron ionization energies is a key component for the simulation of photoelectron spectroscopy. CIS(D) is a perturbative doubles correction for the single excitation configuration interaction (CIS) method which provides a new approach for computing excitation energies. It is shown that by introducing a virtual orbital subspace that consists of a single "ghost" orbital, valence electron ionization energies can be computed using a scaled CIS(D) approach with an accuracy comparable with considerably more computationally intensive methods, such as ionization-potential equation of motion coupled cluster theory, and simulated spectra show a significant improvement relative to spectra based upon Koopmans' theorem. When the model is applied to the ionization energies for core orbitals, there is an increase in the error, particularly for the heavier nuclei considered (silicon to chlorine), although the relative energy of the ionization energies are predicted accurately. In addition to its inherent computational efficiency relative to other wavefunction based approaches, a significant advantage of this approach is that the ionization energies for all electrons can be obtained in a single calculation, in contrast to Δself-consistent field based methods.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article