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Comparison of synaptic properties considering dopant concentration and device operation polarity in Cu/SiN/SiO2/p-Si devices for neuromorphic system

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dc.contributor.authorKwon, Osung-
dc.contributor.authorKim, Yoon-
dc.contributor.authorKang, Myounggon-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2023-04-27T15:40:43Z-
dc.date.available2023-04-27T15:40:43Z-
dc.date.issued2021-10-15-
dc.identifier.issn0169-4332-
dc.identifier.issn1873-5584-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/4298-
dc.description.abstractIn this study, we characterize Cu/SiN/SiO2/Si devices with different dopant concentrations in the silicon surface for use as synaptic devices in neuromorphic systems. We verified the device stack by transmission electron microscopy (TEM) and energy-dispersive X-ray spectroscopy (EDS). An abrupt change is observed in Cu/SiN/ SiO2/p(++)-Si at positive SET and negative RESET values, where Cu diffusion is involved in the conducting path. On the other hand, abrupt SET and gradual RESET values are observed in Cu/SiN/SiO2/p(++)-Si at negative SET operation and positive RESET operation, when intrinsic resistive switching occurs in SiN. The Cu/SiN/SiO2/p(+)-Si device shows gradual bipolar resistive switching with negative SET and positive RESET. Lower current switching and more gradual switching is possible in the Cu/SiN/SiO2/p(+)-Si device due to the series resistance. Potentiation and depression of the Cu/SiN/SiO2/p(+)-Si device can be more accurately controlled by pulses than is the case for the Cu/SiN/SiO2/p(++)-Si device. Moreover, we reveal that the Cu/SiN/SiO2/p(+)-Si device is more suitable for use as a synaptic device than the Cu/SiN/SiO2/p(++)-Si device according to the MNIST pattern recognition test.-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER-
dc.titleComparison of synaptic properties considering dopant concentration and device operation polarity in Cu/SiN/SiO2/p-Si devices for neuromorphic system-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.apsusc.2021.150101-
dc.identifier.scopusid2-s2.0-85108014139-
dc.identifier.wosid000691423400004-
dc.identifier.bibliographicCitationAPPLIED SURFACE SCIENCE, v.563-
dc.citation.titleAPPLIED SURFACE SCIENCE-
dc.citation.volume563-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
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.keywordPlusMEMORY-
dc.subject.keywordPlusMEMRISTOR-
dc.subject.keywordPlusBARRIER-
dc.subject.keywordAuthorResistive switching-
dc.subject.keywordAuthorSilicon nitride-
dc.subject.keywordAuthorSynaptic device-
dc.subject.keywordAuthorMetal-insulator-semiconductor-
dc.subject.keywordAuthorNeuromorphic simulation-
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