A database of battery materials auto-generated using ChemDataExtractor
dc.contributor.author | Huang, Shu | |
dc.contributor.author | Cole, Jacqueline M. | |
dc.date.accessioned | 2021-02-16T16:18:33Z | |
dc.date.available | 2021-02-16T16:18:33Z | |
dc.date.issued | 2020-08-06 | |
dc.date.submitted | 2020-02-24 | |
dc.identifier.other | s41597-020-00602-2 | |
dc.identifier.other | 602 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/317736 | |
dc.description | Funder: University of Cambridge | Christ's College, University of Cambridge (Christ's College); doi: https://doi.org/10.13039/501100000590 | |
dc.description.abstract | Abstract: A database of battery materials is presented which comprises a total of 292,313 data records, with 214,617 unique chemical-property data relations between 17,354 unique chemicals and up to five material properties: capacity, voltage, conductivity, Coulombic efficiency and energy. 117,403 data are multivariate on a property where it is the dependent variable in part of a data series. The database was auto-generated by mining text from 229,061 academic papers using the chemistry-aware natural language processing toolkit, ChemDataExtractor version 1.5, which was modified for the specific domain of batteries. The collected data can be used as a representative overview of battery material information that is contained within text of scientific papers. Public availability of these data will also enable battery materials design and prediction via data-science methods. To the best of our knowledge, this is the first auto-generated database of battery materials extracted from a relatively large number of scientific papers. We also provide a Graphical User Interface (GUI) to aid the use of this database. | |
dc.language | en | |
dc.publisher | Nature Publishing Group UK | |
dc.rights | Attribution 4.0 International (CC BY 4.0) | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Data Descriptor | |
dc.subject | /639/638/675 | |
dc.subject | /639/766/94 | |
dc.subject | /639/301/299/891 | |
dc.subject | data-descriptor | |
dc.title | A database of battery materials auto-generated using ChemDataExtractor | |
dc.type | Article | |
dc.date.updated | 2021-02-16T16:18:33Z | |
prism.issueIdentifier | 1 | |
prism.publicationName | Scientific Data | |
prism.volume | 7 | |
dc.identifier.doi | 10.17863/CAM.64850 | |
dcterms.dateAccepted | 2020-07-03 | |
rioxxterms.versionofrecord | 10.1038/s41597-020-00602-2 | |
rioxxterms.version | VoR | |
rioxxterms.licenseref.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.contributor.orcid | Cole, Jacqueline M. [0000-0002-1552-8743] | |
dc.identifier.eissn | 2052-4463 | |
pubs.funder-project-id | Royal Academy of Engineering (RCSRF1819\7\10) |
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