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dc.contributor.authorWoodhouse, FG
dc.contributor.authorFawcett, JB
dc.contributor.authorDunkel, J
dc.date.accessioned2018-09-05T12:40:43Z
dc.date.available2018-09-05T12:40:43Z
dc.date.issued2018
dc.identifier.issn1367-2630
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/279357
dc.description.abstract© 2018 The Author(s). Published by IOP Publishing Ltd on behalf of Deutsche Physikalische Gesellschaft. Recent experiments show that both natural and artificial microswimmers in narrow channel-like geometries will self-organise to form steady, directed flows. This suggests that networks of flowing active matter could function as novel autonomous microfluidic devices. However, little is known about how information propagates through these far-from-equilibrium systems. Through a mathematical analogy with spin-ice vertex models, we investigate here the input-output characteristics of generic incompressible active flow networks (AFNs). Our analysis shows that information transport through an AFN is inherently different from conventional pressure or voltage driven networks. Active flows on hexagonal arrays preserve input information over longer distances than their passive counterparts and are highly sensitive to bulk topological defects, whose presence can be inferred from marginal input-output distributions alone. This sensitivity further allows controlled permutations on parallel inputs, revealing an unexpected link between active matter and group theory that can guide new microfluidic mixing strategies facilitated by active matter and aid the design of generic autonomous information transport networks.
dc.publisherIOP Publishing
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleInformation transmission and signal permutation in active flow networks
dc.typeArticle
prism.issueIdentifier3
prism.publicationDate2018
prism.publicationNameNew Journal of Physics
prism.volume20
dc.identifier.doi10.17863/CAM.26735
dcterms.dateAccepted2018-03-14
rioxxterms.versionofrecord10.1088/1367-2630/aab680
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-03-01
dc.contributor.orcidWoodhouse, Francis Gordon [0000-0002-5305-5510]
dc.identifier.eissn1367-2630
rioxxterms.typeJournal Article/Review
cam.issuedOnline2018-03-29


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)