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BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds
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 “Exi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611007/ https://www.ncbi.nlm.nih.gov/pubmed/34815431 http://dx.doi.org/10.1038/s41597-021-01088-2 |
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author | Prasad, Viki Kumar Khalilian, M. Hossein Otero-de-la-Roza, Alberto DiLabio, Gino A. |
author_facet | Prasad, Viki Kumar Khalilian, M. Hossein Otero-de-la-Roza, Alberto DiLabio, Gino A. |
author_sort | Prasad, Viki Kumar |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8611007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86110072021-12-01 BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds Prasad, Viki Kumar Khalilian, M. Hossein Otero-de-la-Roza, Alberto DiLabio, Gino A. Sci Data Data Descriptor 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. Nature Publishing Group UK 2021-11-23 /pmc/articles/PMC8611007/ /pubmed/34815431 http://dx.doi.org/10.1038/s41597-021-01088-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Prasad, Viki Kumar Khalilian, M. Hossein Otero-de-la-Roza, Alberto DiLabio, Gino A. BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds |
title | BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds |
title_full | BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds |
title_fullStr | BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds |
title_full_unstemmed | BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds |
title_short | BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds |
title_sort | bse49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611007/ https://www.ncbi.nlm.nih.gov/pubmed/34815431 http://dx.doi.org/10.1038/s41597-021-01088-2 |
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