Variational Vibrational States of Methanol (12D)

Full-dimensional (12D) vibrational states of the methanol molecule (CH<sub>3</sub>OH) have been computed using the GENIUSH-Smolyak approach and the potential energy surface from Qu and Bowman (2013). All vibrational energies are converged better than 0.5 cm<sup>-1</sup> with respect to the basis and grid size up to the first overtone of the CO stretch, ca. 2000 cm<sup>-1</sup> beyond the zero-point vibrational energy. About 70 torsion-vibration states are reported and assigned. The computed vibrational energies agree with the available experimental data within less than a few cm<sup>-1</sup> in most cases, which confirms the good accuracy of the potential energy surface. The computations are carried out using curvilinear normal coordinates with the option of path-following coefficients, which minimize the coupling of the small- and large-amplitude motions. It is important to ensure tight numerical fulfillment of the <i>C</i><sub>3v</sub>(M) molecular symmetry for every geometry and coefficient set used to define the curvilinear normal coordinates along the torsional coordinate to obtain a faithful description of degeneracy in this floppy system. The reported values may provide a computational reference for fundamental spectroscopy, astrochemistry, and for the search of the proton-to-electron mass ratio variation using the methanol molecule.

Authors

Institutions

Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2024-08-30
DOI
https://doi.org/10.1021/acs.jctc.4c00647
Citations
6
Primary Topic
Molecular Spectroscopy and Structure
Type
article
Field-Weighted Citation Impact
1.44

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Variational Vibrational States of Methanol (12D)

Edit Mátyus, Gustavo Noronha de Ávila, Ayaki Sunaga
6 citations
Journal of Chemical Theory and Computation
Molecular Spectroscopy and Structure
1.44
article

Variational Vibrational States of Methanol (12D)

Edit Mátyus, Gustavo Noronha de Ávila, Ayaki Sunaga
article en
6 citations

Abstract

Full-dimensional (12D) vibrational states of the methanol molecule (CH<sub>3</sub>OH) have been computed using the GENIUSH-Smolyak approach and the potential energy surface from Qu and Bowman (2013). All vibrational energies are converged better than 0.5 cm<sup>-1</sup> with respect to the basis and grid size up to the first overtone of the CO stretch, ca. 2000 cm<sup>-1</sup> beyond the zero-point vibrational energy. About 70 torsion-vibration states are reported and assigned. The computed vibrational energies agree with the available experimental data within less than a few cm<sup>-1</sup> in most cases, which confirms the good accuracy of the potential energy surface. The computations are carried out using curvilinear normal coordinates with the option of path-following coefficients, which minimize the coupling of the small- and large-amplitude motions. It is important to ensure tight numerical fulfillment of the <i>C</i><sub>3v</sub>(M) molecular symmetry for every geometry and coefficient set used to define the curvilinear normal coordinates along the torsional coordinate to obtain a faithful description of degeneracy in this floppy system. The reported values may provide a computational reference for fundamental spectroscopy, astrochemistry, and for the search of the proton-to-electron mass ratio variation using the methanol molecule.

Journal of Chemical Theory and Computation
Eötvös Loránd University (HU)
European Commission, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, HORIZON EUROPE Marie Sklodowska-Curie Actions
Openalex Percentile: Top 20%
Molecular Spectroscopy and Structure
1.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.