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dc.contributor.authorCourt, Callum J
dc.contributor.authorCole, Jacqueline M
dc.date.accessioned2018-07-27T15:05:29Z
dc.date.available2018-07-27T15:05:29Z
dc.date.issued2018-06-19
dc.identifier.issn2052-4463
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/278516
dc.description.abstractLarge auto-generated databases of magnetic materials properties have the potential for great utility in materials science research. This article presents an auto-generated database of 39,822 records containing chemical compounds and their associated Curie and Néel magnetic phase transition temperatures. The database was produced using natural language processing and semi-supervised quaternary relationship extraction, applied to a corpus of 68,078 chemistry and physics articles. Evaluation of the database shows an estimated overall precision of 73%. Therein, records processed with the text-mining toolkit, ChemDataExtractor, were assisted by a modified Snowball algorithm, whose original binary relationship extraction capabilities were extended to quaternary relationship extraction. Consequently, its machine learning component can now train with ≤ 500 seeds, rather than the 4,000 originally used. Data processed with the modified Snowball algorithm affords 82% precision. Database records are available in MongoDB, CSV and JSON formats which can easily be read using Python, R, Java and MatLab. This makes the database easy to query for tackling big-data materials science initiatives and provides a basis for magnetic materials discovery.
dc.format.mediumElectronic
dc.languageeng
dc.publisherSpringer Science and Business Media LLC
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAuto-generated materials database of Curie and Néel temperatures via semi-supervised relationship extraction.
dc.typeArticle
prism.publicationDate2018
prism.publicationNameSci Data
prism.startingPage180111
prism.volume5
dc.identifier.doi10.17863/CAM.25852
dcterms.dateAccepted2018-04-16
rioxxterms.versionofrecord10.1038/sdata.2018.111
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-06-19
dc.contributor.orcidCourt, Callum [0000-0002-3919-5605]
dc.contributor.orcidCole, Jacqui [0000-0002-1552-8743]
dc.identifier.eissn2052-4463
rioxxterms.typeJournal Article/Review
pubs.funder-project-idRoyal Commission for the Exhibition of 1851 (DF/05/14)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/L015552/1)
cam.issuedOnline2018-06-19
cam.orpheus.successThu Jan 30 13:04:41 GMT 2020 - The item has an open VoR version.
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International