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Memristive Switching and Density-Functional Theory Calculations in Double Nitride Insulating Layers

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dc.contributor.authorKhan, Sobia Ali-
dc.contributor.authorHussain, Fayyaz-
dc.contributor.authorChung, Daewon-
dc.contributor.authorRahmani, Mehr Khalid-
dc.contributor.authorIsmail, Muhammd-
dc.contributor.authorMahata, Chandreswar-
dc.contributor.authorAbbas, Yawar-
dc.contributor.authorAbbas, Haider-
dc.contributor.authorChoi, Changhwan-
dc.contributor.authorMikhaylov, Alexey N.-
dc.contributor.authorShchanikov, Sergey A.-
dc.contributor.authorYang, Byung-Do-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2022-10-25T07:37:58Z-
dc.date.available2022-10-25T07:37:58Z-
dc.date.created2022-10-06-
dc.date.issued2022-09-
dc.identifier.issn2072-666X-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/172545-
dc.description.abstractIn this paper, we demonstrate a device using a Ni/SiN/BN/p(+)-Si structure with improved performance in terms of a good ON/OFF ratio, excellent stability, and low power consumption when compared with single-layer Ni/SiN/p(+)-Si and Ni/BN/p(+)-Si devices. Its switching mechanism can be explained by trapping and de-trapping via nitride-related vacancies. We also reveal how higher nonlinearity and rectification ratio in a bilayer device is beneficial for enlarging the read margin in a cross-point array structure. In addition, we conduct a theoretical investigation for the interface charge accumulation/depletion in the SiN/BN layers that are responsible for defect creation at the interface and how this accounts for the improved switching characteristics.-
dc.language영어-
dc.language.isoen-
dc.publisherMDPI-
dc.titleMemristive Switching and Density-Functional Theory Calculations in Double Nitride Insulating Layers-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, Changhwan-
dc.identifier.doi10.3390/mi13091498-
dc.identifier.scopusid2-s2.0-85138688363-
dc.identifier.wosid000856855800001-
dc.identifier.bibliographicCitationMICROMACHINES, v.13, no.9, pp.1 - 10-
dc.relation.isPartOfMICROMACHINES-
dc.citation.titleMICROMACHINES-
dc.citation.volume13-
dc.citation.number9-
dc.citation.startPage1-
dc.citation.endPage10-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusMEMORY-
dc.subject.keywordPlusBEHAVIOR-
dc.subject.keywordAuthorresistive switching-
dc.subject.keywordAuthorsilicon nitride-
dc.subject.keywordAuthorboron nitride-
dc.subject.keywordAuthorself-rectification-
dc.identifier.urlhttps://www.mdpi.com/2072-666X/13/9/1498-
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