Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Prasad, Viki Kumar, Khalilian, M. Hossein, Otero-de-la-Roza, Alberto, DiLabio, Gino A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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
_version_ 1784603214236090368
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
work_keys_str_mv AT prasadvikikumar bse49adiversehighqualitybenchmarkdatasetofseparationenergiesofchemicalbonds
AT khalilianmhossein bse49adiversehighqualitybenchmarkdatasetofseparationenergiesofchemicalbonds
AT oterodelarozaalberto bse49adiversehighqualitybenchmarkdatasetofseparationenergiesofchemicalbonds
AT dilabioginoa bse49adiversehighqualitybenchmarkdatasetofseparationenergiesofchemicalbonds