Frequency Range Selection Method for Vibrational Spectra
Author(s) -
Tiago Quevedo Teodoro,
Mark A. J. Koenis,
Sérgio E. Galembeck,
Valentin Paul Nicu,
Wybren Jan Buma,
Lucas Visscher
Publication year - 2018
Publication title -
the journal of physical chemistry letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.563
H-Index - 203
ISSN - 1948-7185
DOI - 10.1021/acs.jpclett.8b02963
Subject(s) - range (aeronautics) , selection (genetic algorithm) , spectral line , reduction (mathematics) , computational physics , statistical physics , algorithm , computational complexity theory , quantum , computer science , physics , mathematics , materials science , quantum mechanics , artificial intelligence , geometry , composite material
Theoretical calculations of vibrational properties are widely used to explain and predict experimental spectra. However, with standard quantum chemical methods all molecular motions are considered, which is rather time-consuming for large molecules. Because typically only a specific spectral region is of experimental interest, we propose here an efficient method that allows calculation of only a selected frequency interval. After a computationally cheap low-level estimate of the molecular motions, the computational time is proportional to the number of normal modes needed to describe this frequency range. Results for a medium-sized molecule show a reduction in computational time of up to 1 order of magnitude with negligible loss in accuracy. We also show that still larger computational savings are possible by using an additional intensity-selection procedure.
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