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dc.contributor.authorDechant, Aen_US
dc.contributor.authorBaule, Aen_US
dc.contributor.authorSasa, S-Ien_US
dc.date.accessioned2016-10-20T09:18:11Z
dc.date.available2017-02-01en_US
dc.date.issued2017-03-20en_US
dc.date.submitted2016-10-13T14:17:36.361Z
dc.identifier.issn2470-0045en_US
dc.identifier.otherARTN 032132en_US
dc.identifier.otherARTN 032132en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/15964
dc.description11 pages, 5 figures
dc.description.sponsorshipThe present study was supported by KAKENHI (Nos. 25103002 and 26610115). A. D. was employed as an International Research Fellow of the Japan Society for the Promotion of Science.en_US
dc.relation.ispartofPHYSICAL REVIEW Een_US
dc.rightshttps://arxiv.org/abs/1609.09633
dc.titleGaussian white noise as a resource for work extractionen_US
dc.typeArticle
dc.identifier.doi10.1103/PhysRevE.95.032132en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000399271600003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue3en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume95en_US


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