BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds
Measurement(s) bond separation energies Technology Type(s) ab initio quantum chemistry computational method Factor Type(s) existing or hypothetical model structure Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.16680787
Saved in:
Main Authors: | , , , |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/b91470d7c36b45c3b7cd7248e14e047a |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
oai:doaj.org-article:b91470d7c36b45c3b7cd7248e14e047a |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:b91470d7c36b45c3b7cd7248e14e047a2021-11-28T12:24:11ZBSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds10.1038/s41597-021-01088-22052-4463https://doaj.org/article/b91470d7c36b45c3b7cd7248e14e047a2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41597-021-01088-2https://doaj.org/toc/2052-4463Measurement(s) bond separation energies Technology Type(s) ab initio quantum chemistry computational method Factor Type(s) existing or hypothetical model structure Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.16680787Viki Kumar PrasadM. Hossein KhalilianAlberto Otero-de-la-RozaGino A. DiLabioNature PortfolioarticleScienceQENScientific Data, Vol 8, Iss 1, Pp 1-8 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Science Q |
spellingShingle |
Science Q Viki Kumar Prasad M. Hossein Khalilian Alberto Otero-de-la-Roza Gino A. DiLabio BSE49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds |
description |
Measurement(s) bond separation energies Technology Type(s) ab initio quantum chemistry computational method Factor Type(s) existing or hypothetical model structure Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.16680787 |
format |
article |
author |
Viki Kumar Prasad M. Hossein Khalilian Alberto Otero-de-la-Roza Gino A. DiLabio |
author_facet |
Viki Kumar Prasad M. Hossein Khalilian Alberto Otero-de-la-Roza Gino A. DiLabio |
author_sort |
Viki Kumar Prasad |
title |
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_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_sort |
bse49, a diverse, high-quality benchmark dataset of separation energies of chemical bonds |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/b91470d7c36b45c3b7cd7248e14e047a |
work_keys_str_mv |
AT vikikumarprasad bse49adiversehighqualitybenchmarkdatasetofseparationenergiesofchemicalbonds AT mhosseinkhalilian bse49adiversehighqualitybenchmarkdatasetofseparationenergiesofchemicalbonds AT albertooterodelaroza bse49adiversehighqualitybenchmarkdatasetofseparationenergiesofchemicalbonds AT ginoadilabio bse49adiversehighqualitybenchmarkdatasetofseparationenergiesofchemicalbonds |
_version_ |
1718408038354780160 |