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Cited 16 time in webofscience Cited 16 time in scopus
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Improved resistive and synaptic switching performances in bilayer ZrOx/HfOx devices

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dc.contributor.authorJi, Hyeonseung-
dc.contributor.authorLee, Yoonseok-
dc.contributor.authorHeo, Jungang-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2024-08-08T10:00:56Z-
dc.date.available2024-08-08T10:00:56Z-
dc.date.issued2023-11-
dc.identifier.issn0925-8388-
dc.identifier.issn1873-4669-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/21121-
dc.description.abstractIn this study, we investigated the resistive switching (RS) characteristics of ZrOx/HfOx bilayer-based resistive random-access memory (RRAM) devices. A 1.5-nm-thick HfOx layer was deposited by atomic layer deposition (ALD) between the ZrOx layer and TiN electrode to enhance the RS. Compared to the ZrOx single-layer device, the bilayer device exhibited a lower high resistance state (HRS) current, which improved endurance and reduced energy consumption due to the insulating HfOx layer. In addition, a DC endurance of 300 cycles and strong retention characteristics (10,000 s) were achieved in the bilayer device. Furthermore, the multi-level cell (MLC), potentiation, and depression characteristics were evaluated to demonstrate the suitability of the Ti/ZrOx/HfOx/ TiN device for use as a neuromorphic device. With regard to potentiation and depression, various pulse schemes were employed to improve the asymmetric conductance changes for neuromorphic system applications.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier B.V.-
dc.titleImproved resistive and synaptic switching performances in bilayer ZrOx/HfOx devices-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.jallcom.2023.171096-
dc.identifier.scopusid2-s2.0-85164306029-
dc.identifier.wosid001036807300001-
dc.identifier.bibliographicCitationJournal of Alloys and Compounds, v.962, pp 1 - 7-
dc.citation.titleJournal of Alloys and Compounds-
dc.citation.volume962-
dc.citation.startPage1-
dc.citation.endPage7-
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.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMetallurgy & Metallurgical Engineering-
dc.subject.keywordPlusTHIN-FILM-
dc.subject.keywordPlusMEMORY-
dc.subject.keywordAuthorAI semiconductor-
dc.subject.keywordAuthorNeuromorphic system-
dc.subject.keywordAuthorSynaptic device-
dc.subject.keywordAuthorResistive switching-
dc.subject.keywordAuthorBilayer device-
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