Modeling Networks of Probabilistic Memristors in SPICE

dc.contributor.authorDowling, Vincent J.
dc.contributor.authorSlipko, Valeriy A.
dc.contributor.authorPershin, Yuriy, V
dc.coverage.issue1cs
dc.coverage.volume30cs
dc.date.accessioned2021-04-30T12:27:14Z
dc.date.available2021-04-30T12:27:14Z
dc.date.issued2021-04cs
dc.description.abstractEfficient simulation of stochastic memristors and their networks requires novel modeling approaches. Utilizing a master equation to find occupation probabilities of network states is a recent major departure from typical memristor modeling [Chaos, solitons fractals 142, 110385 (2021)]. In the present article we show how to implement such master equations in SPICE – a general purpose circuit simulation program. In the case studies we simulate the dynamics of acdriven probabilistic binary and multi-state memristors, and dc-driven networks of probabilistic binary and multi-state memristors. Our SPICE results are in perfect agreement with known analytical solutions. Examples of LTspice code are included.en
dc.formattextcs
dc.format.extent157-163cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2021 vol. 30, č. 1, s. 157-163. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2021.0157en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/196635
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2021/21_01_0157_0163.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectMemristorsen
dc.subjectSPICEen
dc.subjectnetworksen
dc.subjectprobabilistic computingen
dc.titleModeling Networks of Probabilistic Memristors in SPICEen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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