Detailed Information

Cited 1 time in webofscience Cited 1 time in scopus
Metadata Downloads

Improved Resistive Switching Characteristics and Synaptic Functions of InZnO/SiO2 Bilayer Device

Full metadata record
DC Field Value Language
dc.contributor.authorJu, Dongyeol-
dc.contributor.authorKoo, Minsuk-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2024-08-08T09:00:39Z-
dc.date.available2024-08-08T09:00:39Z-
dc.date.issued2023-12-
dc.identifier.issn1996-1944-
dc.identifier.issn1996-1944-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/20765-
dc.description.abstractThis paper investigates the bipolar resistive switching and synaptic characteristics of IZO single-layer and IZO/SiO2 bilayer two-terminal memory devices. The chemical properties and structure of the device with a SiO2 layer are confirmed by x-ray photoemission spectroscopy (XPS) and transmission electron microscopy (TEM) imaging. The device with the SiO2 layer showed better memory characteristics with a low current level, as well as better cell-to-cell and cycle-to-cycle uniformity. Moreover, the neuromorphic applications of the IZO/SiO2 bilayer device are demonstrated by pulse response. Paired pulse facilitation, excitatory postsynaptic current, and pulse-width-dependent conductance changes are conducted by the coexistence of short- and long-term memory characteristics. Moreover, Hebbian rules are emulated to mimic biological synapse function. The result of potentiation, depression, spike-rate-dependent plasticity, and spike-time-dependent plasticity prove their favorable abilities for future applications in neuromorphic computing architecture.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleImproved Resistive Switching Characteristics and Synaptic Functions of InZnO/SiO2 Bilayer Device-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/ma16237324-
dc.identifier.scopusid2-s2.0-85178920797-
dc.identifier.wosid001117588700001-
dc.identifier.bibliographicCitationMaterials, v.16, no.23, pp 1 - 12-
dc.citation.titleMaterials-
dc.citation.volume16-
dc.citation.number23-
dc.citation.startPage1-
dc.citation.endPage12-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaMetallurgy & Metallurgical Engineering-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMetallurgy & Metallurgical Engineering-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.subject.keywordPlusOXIDE-BASED RRAM-
dc.subject.keywordPlusELECTRONIC SYNAPSE-
dc.subject.keywordPlusPLASTICITY-
dc.subject.keywordPlusLAYER-
dc.subject.keywordPlusTEMPERATURE-
dc.subject.keywordPlusMEMRISTORS-
dc.subject.keywordPlusBEHAVIOR-
dc.subject.keywordPlusARRAYS-
dc.subject.keywordPlusCOST-
dc.subject.keywordAuthorneuromorphic computing-
dc.subject.keywordAuthorsynaptic plasticity-
dc.subject.keywordAuthorspiking neural network-
dc.subject.keywordAuthorresistive switching-
dc.subject.keywordAuthorInZnO-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Sung Jun photo

Kim, Sung Jun
College of Engineering (Department of Electronics and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE