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dc.contributor.authorLarmuseau, Michiel
dc.contributor.authorTheuwissen, Koenraad
dc.contributor.authorLejaeghere, Kurt
dc.contributor.authorDuprez, Lode
dc.contributor.authorDhaene, Tom
dc.contributor.authorCottenier, Stefaan
dc.date.accessioned2022-06-09T07:16:16Z
dc.date.available2022-05-10T02:20:05Z
dc.date.available2022-05-12T08:27:27Z
dc.date.available2022-06-09T07:16:16Z
dc.date.issued2022
dc.identifier.issn1359-6462
dc.identifier.otherWOS:000788063900005
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39784.3
dc.sourceWOS
dc.titleTowards accurate processing-structure-property links using deep learning
dc.typeJournal article
dc.contributor.imecauthorLarmuseau, Michiel
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.embargo9999-12-31
dc.identifier.doi10.1016/j.scriptamat.2021.114478
dc.source.numberofpages5
dc.source.peerreviewyes
dc.source.beginpage114478
dc.source.journalSCRIPTA MATERIALIA
dc.source.issuena
dc.source.volume211
imec.availabilityPublished - open access
dc.description.wosFundingTextM.L. and S.C. acknowledge financial support from OCAS NV by an OCAS-sponsored PhD position and by an OCAS-endowed chair at Ghent University, respectively. The computational resources and services used in this work were provided by the VSC (Flemish Su-percomputer Center) , funded by the Research Foundation Flanders (FWO) and the Flemish Government-department EWI.


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