3.8 Article

Reparameterized semi-empirical methods for computing anharmonic vibrational frequencies of multiply-bonded hydrocarbons

期刊

ELECTRONIC STRUCTURE
卷 4, 期 4, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/2516-1075/aca458

关键词

semi-empirical methods; vibrational spectroscopy; carbon chemistry; polycyclic aromatic hydrocarbons; astrochemistry

资金

  1. NASA [NNX17AH15G]
  2. NSF [OIA-1757220, CHE-1757888]

向作者/读者索取更多资源

Reparameterized semi-empirical methods have been optimized to reproduce the vibrational spectra of small hydrocarbon molecules, providing a basis for unraveling the infrared spectral features observed in astronomical bodies. This cost-effective approach allows for accurate prediction of anharmonic frequencies with reduced computational cost.
Reparameterized semi-empirical methods can reproduce gas-phase experimental vibrational frequencies to within 24 cm(-1) or better for a 100-fold decrease in computational cost in the anharmonic fundamental vibrational frequencies. To achieve such accuracy and efficiency, the default parameters in the PM6 semi-empirical model are herein optimized to reproduce the experimental and high-level theoretical vibrational spectra of three small hydrocarbon molecules, C2H2, c-C3H2, and C2H4, with the hope that these same parameters will be applicable to large polycyclic aromatic hydrocarbons (PAHs). This massive cost reduction allows for the computation of explicit anharmonic frequencies and the inclusion of resonance corrections that have been shown to be essential for accurate predictions of anharmonic frequencies. Such accurate predictions are necessary to help to disentangle the heretofore unidentified infrared spectral features observed around diverse astronomical bodies and hypothesized to be caused by PAHs, especially with the upcoming influx of observational data from the James Webb Space Telescope. The optimized PM6 parameters presented herein represent a substantial step in this direction with those obtained for ethylene (C2H4) yielding a 37% reduction in the mean absolute error of the fundamental frequencies compared to the default PM6 parameters.

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