Sulfoxide bond dissociation enthalpies predicted by DFT paired with Pople, Dunning, and Karlsruhe basis sets

Computational analysis was conducted to determine the bond dissociation enthalpies (BDEs) of S–O bonds in eight molecules, which were subsequently compared to their experimentally derived BDEs. Computational BDEs were determined utilizing various combinations of density functional theory (DFT) functionals with an assortment of basis sets. Specifically, DFT methods including M06-2X, mPW1LYP, ωB97X-D3, PBE0, and B3P86 were paired with basis sets def2-TZVP/J, def2-TZVP, aug-<i>cc</i>-pV(T + d)Z, 6-311 + G(2df,2p), and def2-QZVP. The comparison between computational and experimental BDEs was evaluated through graphical representation, yielding slope, coefficient of determination (R<sup>2</sup>), and root mean square error (RMSE) metrics. Additionally, comparative analyses were expanded to include complete basis set methods (CBS-QB3 and CBS-4M), which exhibited comparatively lower accuracy in predicting experimentally determined S–O BDEs than the DFT methods. Among all methods tested, the B3P86/aug-<i>cc</i>-pV(T + d)Z and B3P86/def2-QZVP methods are recommended for computational prediction of BDEs for sulfoxides.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29369464
Primary Topic
Chemical Thermodynamics and Molecular Structure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sulfoxide bond dissociation enthalpies predicted by DFT paired with Pople, Dunning, and Karlsruhe basis sets

Figshare
Chemical Thermodynamics and Molecular Structure
article

Sulfoxide bond dissociation enthalpies predicted by DFT paired with Pople, Dunning, and Karlsruhe basis sets

article en

Abstract

Computational analysis was conducted to determine the bond dissociation enthalpies (BDEs) of S–O bonds in eight molecules, which were subsequently compared to their experimentally derived BDEs. Computational BDEs were determined utilizing various combinations of density functional theory (DFT) functionals with an assortment of basis sets. Specifically, DFT methods including M06-2X, mPW1LYP, ωB97X-D3, PBE0, and B3P86 were paired with basis sets def2-TZVP/J, def2-TZVP, aug-<i>cc</i>-pV(T + d)Z, 6-311 + G(2df,2p), and def2-QZVP. The comparison between computational and experimental BDEs was evaluated through graphical representation, yielding slope, coefficient of determination (R<sup>2</sup>), and root mean square error (RMSE) metrics. Additionally, comparative analyses were expanded to include complete basis set methods (CBS-QB3 and CBS-4M), which exhibited comparatively lower accuracy in predicting experimentally determined S–O BDEs than the DFT methods. Among all methods tested, the B3P86/aug-<i>cc</i>-pV(T + d)Z and B3P86/def2-QZVP methods are recommended for computational prediction of BDEs for sulfoxides.

Figshare
Openalex Percentile: Top 54%
Chemical Thermodynamics and Molecular Structure
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.