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Machine Learning and Data Mining in Materials Science

dc.contributor.editorHuber, Norbert
dc.contributor.editorKalidindi, Surya R.
dc.contributor.editorKlusemann, Benjamin
dc.contributor.editorJohannes Cyron, Christian
dc.date.accessioned2021-11-18T16:24:52Z
dc.date.available2021-11-18T16:24:52Z
dc.date.issued2020
dc.identifierONIX_20211118_9782889636518_925
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/73793
dc.description.abstractThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and buildingen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materialsen_US
dc.subject.othermachining of data
dc.subject.othermachine learning
dc.subject.otherdata mining
dc.subject.othermaterials design
dc.subject.othermaterials processing
dc.subject.otherscale bridging
dc.titleMachine Learning and Data Mining in Materials Science
dc.typebook
oapen.identifier.doi10.3389/978-2-88963-651-8
oapen.relation.isPublishedBybf5ce210-e72e-4860-ba9b-c305640ff3ae
oapen.relation.isbn9782889636518
oapen.pages235


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