Computational Protocol for the Identification of Candidates for Radioastronomical Detection and Its Application to the C<sub>3</sub>H<sub>3</sub>NO Family of Isomers

The C<sub>3</sub>H<sub>3</sub>NO family of isomers is relevant in astrochemistry, even though its members are still elusive in the interstellar medium. To identify the best candidate for astronomical detection within this family, we developed a new computational protocol base...

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Bibliographic Details
Main Authors: Silvia Alessandrini, Mattia Melosso, Víctor M. Rivilla, Luca Bizzocchi, Cristina Puzzarini
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/28/7/3226
Description
Summary:The C<sub>3</sub>H<sub>3</sub>NO family of isomers is relevant in astrochemistry, even though its members are still elusive in the interstellar medium. To identify the best candidate for astronomical detection within this family, we developed a new computational protocol based on the minimum-energy principle. This approach aims to identify the most stable isomer of the family and consists of three steps. The first step is an extensive investigation that characterizes the vast number of compounds having the C<sub>3</sub>H<sub>3</sub>NO chemical formula, employing density functional theory for this purpose. The second step is an energy refinement, which is used to select isomers and relies on coupled cluster theory. The last step is a structural improvement with a final energy refinement that provides improved energies and a large set of accurate spectroscopic parameters for all isomers lying within 30 kJ mol<sup>−1</sup> above the most stable one. According to this protocol, vinylisocyanate is the most stable isomer, followed by oxazole, which is about 5 kJ mol<sup>−1</sup> higher in energy. The other stable species are pyruvonitrile, cyanoacetaldehyde, and cyanovinylalcohol. For all of these species, new computed rotational and vibrational spectroscopic data are reported, which complement those already available in the literature or fill current gaps.
ISSN:1420-3049