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Predicting alloy properties, machine learning the gap between experiment and ab initio

dc.contributor.authorvan Setten, Michiel
dc.contributor.authorPetretto, Guido
dc.contributor.authorRignanese, Gian-Marco
dc.contributor.authorMarteleur, Matthieu
dc.contributor.authorChoisez, Laurine
dc.contributor.authorJacques, Pascall
dc.date.accessioned2021-10-26T07:28:21Z
dc.date.available2021-10-26T07:28:21Z
dc.date.issued2018
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/32106
dc.sourceIIOimport
dc.titlePredicting alloy properties, machine learning the gap between experiment and ab initio
dc.typeProceedings paper
dc.contributor.imecauthorvan Setten, Michiel
dc.contributor.orcidimecvan Setten, Michiel::0000-0003-0557-5260
dc.source.peerreviewyes
dc.source.conference23rd ETSF Workshop on Electronic Excitations: Interdisciplinary Views on Quantum Many-Body Theory
dc.source.conferencedate10/09/2018
dc.source.conferencelocationMilano Italy
dc.identifier.urlhttp://ws23.pcpm.ucl.ac.be/program
imec.availabilityPublished - imec


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