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Artificial Synapse Emulated by Indium Tin Oxide/SiN/TaN Resistive Switching Device for Neuromorphic System

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dc.contributor.authorJu, Dongyeol-
dc.contributor.authorKim, Sunghun-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2024-08-08T05:30:48Z-
dc.date.available2024-08-08T05:30:48Z-
dc.date.issued2023-09-
dc.identifier.issn2079-4991-
dc.identifier.issn2079-4991-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/18652-
dc.description.abstractIn this paper, we fabricate an ITO/SiN/TaN memristor device and analyze its electrical characteristics for a neuromorphic system. The device structure and chemical properties are investigated using transmission electron microscopy and X-ray photoelectron spectroscopy. Uniform bipolar switching is achieved through DC sweep under a compliance current of 5 mA. Also, the analog reset phenomenon is observed by modulating the reset voltage for long-term memory. Additionally, short-term memory characteristics are obtained by controlling the strength of the pulse response. Finally, bio-inspired synaptic characteristics are emulated using Hebbian learning rules such as spike-rate-dependent plasticity (SRDP) and spike-timing-dependent plasticity (STDP). As a result, we believe that the coexistence of short-term and long-term memories in the ITO/SiN/TaN device can provide flexibility in device design in future neuromorphic applications.-
dc.format.extent13-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleArtificial Synapse Emulated by Indium Tin Oxide/SiN/TaN Resistive Switching Device for Neuromorphic System-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/nano13172477-
dc.identifier.scopusid2-s2.0-85170393157-
dc.identifier.wosid001062779000001-
dc.identifier.bibliographicCitationNanomaterials, v.13, no.17, pp 1 - 13-
dc.citation.titleNanomaterials-
dc.citation.volume13-
dc.citation.number17-
dc.citation.startPage1-
dc.citation.endPage13-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusTHIN-FILMS-
dc.subject.keywordPlusMEMORY-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusPLASTICITY-
dc.subject.keywordPlusOPERATIONS-
dc.subject.keywordPlusLAYER-
dc.subject.keywordPlusSIO2-
dc.subject.keywordAuthorresistive switching-
dc.subject.keywordAuthorneuromorphic system-
dc.subject.keywordAuthorsynaptic plasticity-
dc.subject.keywordAuthorHebbian learning rules-
dc.subject.keywordAuthorshort-term memory-
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