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

dc.contributor.author	van Setten, Michiel
dc.contributor.author	Petretto, Guido
dc.contributor.author	Rignanese, Gian-Marco
dc.contributor.author	Marteleur, Matthieu
dc.contributor.author	Choisez, Laurine
dc.contributor.author	Jacques, Pascall
dc.contributor.imecauthor	van Setten, Michiel
dc.contributor.orcidimec	van Setten, Michiel::0000-0003-0557-5260
dc.date.accessioned	2021-10-26T07:28:21Z
dc.date.available	2021-10-26T07:28:21Z
dc.date.issued	2018
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/32106
dc.identifier.url	http://ws23.pcpm.ucl.ac.be/program
dc.source.conference	23rd ETSF Workshop on Electronic Excitations: Interdisciplinary Views on Quantum Many-Body Theory
dc.source.conferencedate	10/09/2018
dc.source.conferencelocation	Milano Italy
dc.title	Predicting alloy properties, machine learning the gap between experiment and ab initio
dc.type	Proceedings paper
dspace.entity.type	Publication
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