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Artificial synapse characteristics of a ZnO-based memristor with a short-term memory effect

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dc.contributor.authorYun, Seokyeon-
dc.contributor.authorMahata, Chandreswar-
dc.contributor.authorKim, Min-Hwi-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2023-04-27T12:40:40Z-
dc.date.available2023-04-27T12:40:40Z-
dc.date.issued2022-03-
dc.identifier.issn0169-4332-
dc.identifier.issn1873-5584-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/3410-
dc.description.abstractWe fabricated and characterized a Ni/ZnO/TiN memristor device designed to emulate an artificial synapse for use in a neuromorphic system. Chemical and material characterization was conducted using ultraviolet photoelectron spectroscopy, energy-dispersive X-ray spectroscopy, and transmission electron microscopy. The device exhibited gradual resistive switching as a multi-level cell with an increase in the DC sweep voltage. Current decay was observed after the set process, indicating that it could feasibly be employed in short-term memory applications. We demonstrated both short-term memory and long-term memory behavior in the proposed device. Higher conductance was maintained via repetitive pulses with a high voltage and a short time interval, while conductance was lower when repetitive pulses with a low voltage and a short time interval were employed. Pulse interval-dependent paired-pulse facilitation characteristics were used to mimic an artificial synapse, with potentiation and depression observed over multiple cycles. We also evaluated the pattern-recognition accuracy of the proposed conductance modulation with degradation based on the short-term memory effect using a 784 x 10 cross-point array netlist and a SPICE resistor model.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier BV-
dc.titleArtificial synapse characteristics of a ZnO-based memristor with a short-term memory effect-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.apsusc.2021.152164-
dc.identifier.scopusid2-s2.0-85121261817-
dc.identifier.wosid000736687100005-
dc.identifier.bibliographicCitationApplied Surface Science, v.579, pp 1 - 6-
dc.citation.titleApplied Surface Science-
dc.citation.volume579-
dc.citation.startPage1-
dc.citation.endPage6-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryMaterials Science, Coatings & Films-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.subject.keywordPlusRESISTIVE SWITCHING PERFORMANCE-
dc.subject.keywordPlusOXIDE-
dc.subject.keywordPlusDEVICES-
dc.subject.keywordPlusARCHITECTURE-
dc.subject.keywordPlusTRANSISTORS-
dc.subject.keywordAuthorNeuromorphic system-
dc.subject.keywordAuthorZnO-
dc.subject.keywordAuthorShort-term memory-
dc.subject.keywordAuthorMemristor-
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