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dc.contributor.authorMartin, D
dc.contributor.authorNardini, C
dc.contributor.authorCates, Michael
dc.contributor.authorFodor, Etienne
dc.date.accessioned2018-11-07T00:30:52Z
dc.date.available2018-11-07T00:30:52Z
dc.date.issued2018-03
dc.identifier.issn0295-5075
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/284696
dc.description.abstract© 2018 EPLA. Colloidal heat engines extract power out of a fluctuating bath by manipulating a confined tracer. Considering a self-propelled tracer surrounded by a bath of passive colloids, we optimize the engine performances based on the maximum available power. Our approach relies on an adiabatic mean-field treatment of the bath particles which reduces the many-body description into an effective tracer dynamics. It leads us to reveal that, when operated at constant activity, an engine can only produce less maximum power than its passive counterpart. In contrast, the output power of an isothermal engine, operating with cyclic variations of the self-propulsion without any passive equivalent, exhibits an optimum in terms of confinement and activity. Direct numerical simulations of the microscopic dynamics support the validity of these results even beyond the mean-field regime, with potential relevance to the design of experimental engines.
dc.publisherIOP Publishing
dc.titleExtracting maximum power from active colloidal heat engines
dc.typeArticle
prism.issueIdentifier6
prism.publicationDate2018
prism.publicationNameEPL
prism.volume121
dc.identifier.doi10.17863/CAM.32069
dcterms.dateAccepted2018-04-24
rioxxterms.versionofrecord10.1209/0295-5075/121/60005
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-03-01
dc.contributor.orcidCates, Michael [0000-0002-5922-7731]
dc.identifier.eissn1286-4854
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEuropean Research Council (740269)
pubs.funder-project-idRoyal Society (RP170002)
cam.issuedOnline2018-05-16
rioxxterms.freetoread.startdate2019-03-01


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