z-logo
open-access-imgOpen Access
Assessment of approximate computational methods for conical intersections and branching plane vectors in organic molecules
Author(s) -
Alexander Y. Nikiforov,
José A. Gámez,
Walter Thiel,
Miquel HuixRotllant,
Michael Filatov
Publication year - 2014
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.4896372
Subject(s) - ab initio , orthogonalization , density functional theory , adiabatic process , conical surface , conical intersection , ab initio quantum chemistry methods , molecular physics , computational chemistry , physics , chemistry , molecule , statistical physics , computational physics , quantum mechanics , geometry , mathematics
WOS:000342844100027International audienceQuantum-chemical computational methods are benchmarked for their ability to describe conical intersections in a series of organic molecules and models of biological chromophores. Reference results for the geometries, relative energies, and branching planes of conical intersections are obtained using ab initio multireference configuration interaction with single and double excitations (MRCISD). They are compared with the results from more approximate methods, namely, the state-interaction state-averaged restricted ensemble-referenced Kohn-Sham method, spin-flip time-dependent density functional theory, and a semiempirical MRCISD approach using an orthogonalization-corrected model. It is demonstrated that these approximate methods reproduce the ab initio reference data very well, with root-mean-square deviations in the optimized geometries of the order of 0.1 angstrom or less and with reasonable agreement in the computed relative energies. A detailed analysis of the branching plane vectors shows that all currently applied methods yield similar nuclear displacements for escaping the strong non-adiabatic coupling region near the conical intersections. Our comparisons support the use of the tested quantum-chemical methods for modeling the photochemistry of large organic and biological systems. (C) 2014 AIP Publishing LLC

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom