RotGT-2023: A benchmark data set of rotational g tensors

Vishnevskiy Y (2023)
Journal of Chemical Physics 159(16): 164307.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Abstract / Bemerkung
The largest ever set, RotGT-2023, of statistically validated experimental components of rotational g tensors and respective vibrational corrections, has been created. The experimental values were collected from literature data. The vibrational corrections for obtaining equilibrium molecular g values have been calculated at the highest affordable coupled cluster level of theory. The set comprises 278 parameters from 129 molecules, including their isotopologues. Statistical assessment of the data has been performed to exclude unreliable parameters. A benchmarking of two theoretical approximations, based on coupled cluster and density functional theories, has been performed. The determined weighted mean and weighted standard deviations of the relative errors in calculated equilibrium g values are 1.09% and 2.07% for the ae-CCSD(T)/x2c-TZVPPall-s//ae-CCSD(T)/cc-pwCVTZ level. The obtained results can be used for predicting the rotational Zeeman effect, correcting rotational constants in spectroscopic studies and in molecular structure refinements. The latter has been demonstrated on the refinement of the molecular structure of silane SiH4, which resulted in rese(Si-H) = 1.4733231(27) A. The other tested theoretical protocol, PBE0/x2c-TZVPPall-s//PBE0-D3BJ/def2-QZVPP, showed considerably worse statistical properties. The RotGT-2023 data set and the developed in this work statistical model are recommended for benchmarking of theoretical approximations for calculations of molecular magnetic properties. © 2023 Author(s). Published under an exclusive license by AIP Publishing.
Erscheinungsjahr
2023
Zeitschriftentitel
Journal of Chemical Physics
Band
159
Ausgabe
16
Art.-Nr.
164307
eISSN
1089-7690
Page URI
https://pub.uni-bielefeld.de/record/2983983

Zitieren

Vishnevskiy Y. RotGT-2023: A benchmark data set of rotational g tensors. Journal of Chemical Physics. 2023;159(16): 164307.
Vishnevskiy, Y. (2023). RotGT-2023: A benchmark data set of rotational g tensors. Journal of Chemical Physics, 159(16), 164307. https://doi.org/10.1063/5.0173313
Vishnevskiy, Yury. 2023. “RotGT-2023: A benchmark data set of rotational g tensors”. Journal of Chemical Physics 159 (16): 164307.
Vishnevskiy, Y. (2023). RotGT-2023: A benchmark data set of rotational g tensors. Journal of Chemical Physics 159:164307.
Vishnevskiy, Y., 2023. RotGT-2023: A benchmark data set of rotational g tensors. Journal of Chemical Physics, 159(16): 164307.
Y. Vishnevskiy, “RotGT-2023: A benchmark data set of rotational g tensors”, Journal of Chemical Physics, vol. 159, 2023, : 164307.
Vishnevskiy, Y.: RotGT-2023: A benchmark data set of rotational g tensors. Journal of Chemical Physics. 159, : 164307 (2023).
Vishnevskiy, Yury. “RotGT-2023: A benchmark data set of rotational g tensors”. Journal of Chemical Physics 159.16 (2023): 164307.
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Quellen

PMID: 37877483
PubMed | Europe PMC

Suchen in

Google Scholar