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Best Practice Leads to the Best Materials Informatics

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dc.contributor.authorBarnard, Amanda
dc.date.accessioned2020-07-14T03:28:04Z
dc.date.issued2020-07-01
dc.description.abstractDeveloping and employing best practice is an important stage in a maturing scientific discipline and is well overdue for the field of materials informatics, where a systematic approach to data science is needed to ensure the reliability and reproducibility of results.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.citationMatter 3, 12–26, July 1, 2020en_AU
dc.identifier.issn2590-2385en_AU
dc.identifier.urihttp://hdl.handle.net/1885/206129
dc.language.isoen_AUen_AU
dc.publisherCell Pressen_AU
dc.rights© 2020 Elsevier Incen_AU
dc.subjectmaterials informaticsen_AU
dc.subjectdata scienceen_AU
dc.subjectmachine learningen_AU
dc.titleBest Practice Leads to the Best Materials Informaticsen_AU
dc.typeJournal articleen_AU
dcterms.dateAccepted2020-06-01
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage26en_AU
local.bibliographicCitation.startpage12en_AU
local.contributor.affiliationBarnard, Amanda S., Research School of Computer Science, ANUen_AU
local.contributor.authoruidBarnard, Amanda S., u5628161en_AU
local.description.embargo2037-12-31
local.description.notesDeposited by authoren_AU
local.identifier.citationvolume3en_AU
local.identifier.doi10.1016/j.matt.2020.06.003en_AU
local.publisher.urlhttps://www.sciencedirect.com/en_AU
local.type.statusPublished Versionen_AU

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