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dc.contributor.authorYu, J.
dc.contributor.authorLi, Y.
dc.contributor.authorMu, X.
dc.contributor.authorZhang, J.
dc.contributor.authorMiao, X.
dc.contributor.authorWang, S.
dc.date.accessioned2015-10-26T08:05:46Z
dc.date.available2015-10-26T08:05:46Z
dc.date.issued2015-09cs
dc.identifier.citationRadioengineering. 2015 vol. 24, č. 3, s. 808-813. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/51749
dc.description.abstractThe AgInSbTe memristor shows gradual resistance tuning characteristics, which makes it a potential candidate to emulate biological plastic synapses. The working mechanism of the device is complex, and both intrinsic charge-trapping mechanism and extrinsic electrochemical metallization effect are confirmed in the AgInSbTe memristor. Mathematical model of the AgInSbTe memristor has not been given before. We propose the flux-voltage controlled memristor model. With piecewise linear approximation technique, we deliver the flux-voltage controlled memristor model of the AgInSbTe memristor based on the experiment data. Our model fits the data well. The flux-voltage controlled memristor model and the piecewise linear approximation method are also suitable for modeling other kinds of memristor devices based on experiment data.en
dc.formattextcs
dc.format.extent808-813cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2015/15_03_0808_0813.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectMemristoren
dc.subjectmathematical modelen
dc.subjectpiecewise linearen
dc.titleModeling the AgInSbTe Memristoren
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue3cs
dc.coverage.volume24cs
dc.identifier.doi10.13164/re.2015.0808en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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