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dc.contributor.authorRouet-Leduc, Ben_US
dc.contributor.authorBarros, Ken_US
dc.contributor.authorLookman, Ten_US
dc.contributor.authorHumphreys, CJen_US
dc.date.accessioned2018-11-06T10:37:02Z
dc.date.available2016-04-04en_US
dc.date.issued2016-04-26en_US
dc.date.submitted2018-11-04T15:23:50.363Z
dc.identifier.issn2045-2322en_US
dc.identifier.otherARTN 24862en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/49530
dc.relation.ispartofSCIENTIFIC REPORTSen_US
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
dc.titleOptimisation of GaN LEDs and the reduction of efficiency droop using active machine learningen_US
dc.typeArticle
dc.rights.holder© The Author(s) 2016
dc.identifier.doi10.1038/srep24862en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000374757300002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume6en_US


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