4.7 Article Data Paper

BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds

Journal

SCIENTIFIC DATA
Volume 8, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41597-021-01088-2

Keywords

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Funding

  1. Natural Sciences and Engineering Research Council of Canada
  2. Canadian Foundation for Innovation
  3. British Columbia Knowledge Development Fund
  4. Spanish Ministerio de Ciencia e Innovacion [PGC2018-097520-A-100, RED2018-102612-T]
  5. Agencia Estatal de Investigacion (AEI) [PGC2018-097520-A-100, RED2018-102612-T]
  6. Spanish MINECO [RyC-2016-20301]

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The dataset consists of 4502 datapoints covering 49 unique X-Y type single bonds, classified into Existing and Hypothetical categories. The bond separation energies provided can be used as a high-quality reference dataset for assessing and developing computational chemistry methods.
We present an extensive and diverse dataset of bond separation energies associated with the homolytic cleavage of covalently bonded molecules (A-B) into their corresponding radical fragments (A(.) and B-.). Our dataset contains two different classifications of model structures referred to as Existing (molecules with associated experimental data) and Hypothetical (molecules with no associated experimental data). In total, the dataset consists of 4502 datapoints (1969 datapoints from the Existing and 2533 datapoints from the Hypothetical classes). The dataset covers 49 unique X-Y type single bonds (except H-H, H-F, and H-Cl), where X and Y are H, B, C, N, O, F, Si, P, S, and Cl atoms. All the reference data was calculated at the (RO)CBS-QB3 level of theory. The reference bond separation energies are non-relativistic ground-state energy differences and contain no zero-point energy corrections. This new dataset of bond separation energies (BSE49) is presented as a high-quality reference dataset for assessing and developing computational chemistry methods.

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