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Structure · dataset · 2019

Importance of Feature Selection in the Adaptive Design of Materials by Machine Learning

Listed in DataCite

This dataset contains features (combined, ionic radii, and electronegativity) and band gap (Eg) values for apatites in their lowest energy structure.

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Documentation and papers

Catalogue records · 2

Topics

Stated by source
Chemical sciences · Materials engineering · Psychology
Inferred from text
Metals and alloy materials 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.503899114 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
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concepts[field].anzsrc:field:401607enrichment · DataCitetaxonomy-embedding@1.1.0title+keywords+description (75%)
concepts[field].fos:chemical-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:materials-engineeringsource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:psychologysource · DataCiteconnector:datacite@1.0.0
created_datesource · DataCiteconnector:datacite@1.0.0
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
licensesource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
updated_datesource · DataCiteconnector:datacite@1.0.0