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The first HyDRA challenge for computational vibrational spectroscopy.

Authors :
Fischer TL
Bödecker M
Schweer SM
Dupont J
Lepère V
Zehnacker-Rentien A
Suhm MA
Schröder B
Henkes T
Andrada DM
Balabin RM
Singh HK
Bhattacharyya HP
Sarma M
Käser S
Töpfer K
Vazquez-Salazar LI
Boittier ED
Meuwly M
Mandelli G
Lanzi C
Conte R
Ceotto M
Dietrich F
Cisternas V
Gnanasekaran R
Hippler M
Jarraya M
Hochlaf M
Viswanathan N
Nevolianis T
Rath G
Kopp WA
Leonhard K
Mata RA
Source :
Physical chemistry chemical physics : PCCP [Phys Chem Chem Phys] 2023 Aug 23; Vol. 25 (33), pp. 22089-22102. Date of Electronic Publication: 2023 Aug 23.
Publication Year :
2023

Abstract

Vibrational spectroscopy in supersonic jet expansions is a powerful tool to assess molecular aggregates in close to ideal conditions for the benchmarking of quantum chemical approaches. The low temperatures achieved as well as the absence of environment effects allow for a direct comparison between computed and experimental spectra. This provides potential benchmarking data which can be revisited to hone different computational techniques, and it allows for the critical analysis of procedures under the setting of a blind challenge. In the latter case, the final result is unknown to modellers, providing an unbiased testing opportunity for quantum chemical models. In this work, we present the spectroscopic and computational results for the first HyDRA blind challenge. The latter deals with the prediction of water donor stretching vibrations in monohydrates of organic molecules. This edition features a test set of 10 systems. Experimental water donor OH vibrational wavenumbers for the vacuum-isolated monohydrates of formaldehyde, tetrahydrofuran, pyridine, tetrahydrothiophene, trifluoroethanol, methyl lactate, dimethylimidazolidinone, cyclooctanone, trifluoroacetophenone and 1-phenylcyclohexane- cis -1,2-diol are provided. The results of the challenge show promising predictive properties in both purely quantum mechanical approaches as well as regression and other machine learning strategies.

Details

Language :
English
ISSN :
1463-9084
Volume :
25
Issue :
33
Database :
MEDLINE
Journal :
Physical chemistry chemical physics : PCCP
Publication Type :
Academic Journal
Accession number :
37610422
Full Text :
https://doi.org/10.1039/d3cp01216f