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dc.contributor.authorObst, O
dc.contributor.authorTrinchi, A
dc.contributor.authorHardin, SG
dc.contributor.authorChadwick, M
dc.contributor.authorCole, I
dc.contributor.authorMuster, TH
dc.contributor.authorHoschke, N
dc.contributor.authorOstry, D
dc.contributor.authorPrice, D
dc.contributor.authorPham, KN
dc.contributor.authorWark, T
dc.date.accessioned2017-11-22T06:28:00Z
dc.date.available2017-11-22T06:28:00Z
dc.date.issued2013
dc.identifier.issn1878-7789
dc.identifier.doi10.1016/j.nancom.2013.08.005
dc.identifier.urihttp://hdl.handle.net/10072/173761
dc.description.abstractThis work describes preliminary steps towards nano-scale reservoir computing using quantum dots. Our research has focused on the development of an accumulator-based sensing system that reacts to changes in the environment, as well as the development of a software simulation. The investigated systems generate nonlinear responses to inputs that make them suitable for a physical implementation of a neural network. This development will enable miniaturisation of the neurons to the molecular level, leading to a range of applications including monitoring of changes in materials or structures. The system is based around the optical properties of quantum dots. The paper will report on experimental work on systems using Cadmium Selenide (CdSe) quantum dots and on the various methods to render the systems sensitive to pH, redox potential or specific ion concentration. Once the quantum dot-based systems are rendered sensitive to these triggers they can provide a distributed array that can monitor and transmit information on changes within the material.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherElsevier Ltd
dc.relation.ispartofpagefrom189
dc.relation.ispartofpageto196
dc.relation.ispartofissue4
dc.relation.ispartofjournalNano Communication Networks
dc.relation.ispartofvolume4
dc.subject.fieldofresearchNanotechnology not elsewhere classified
dc.subject.fieldofresearchTechnology
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchcode100799
dc.subject.fieldofresearchcode10
dc.subject.fieldofresearchcode09
dc.subject.fieldofresearchcode08
dc.titleNano-scale reservoir computing
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorCole, Ivan


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