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Cited 8 time in webofscience Cited 9 time in scopus
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Improved Stability and Controllability in ZrN-Based Resistive Memory Device by Inserting TiO2 Layer

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dc.contributor.authorChoi, Junhyeok-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2023-04-27T21:40:43Z-
dc.date.available2023-04-27T21:40:43Z-
dc.date.issued2020-10-
dc.identifier.issn2072-666X-
dc.identifier.issn2072-666X-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/6086-
dc.description.abstractIn this work, the enhanced resistive switching of ZrN-based resistive switching memory is demonstrated by embedding TiO2 layer between Ag top electrode and ZrN switching layer. The Ag/ZrN/n-Si device exhibits unstable resistive switching as a result of the uncontrollable Ag migration. Both unipolar and bipolar resistive switching with high RESET current were observed. Negative-SET behavior in the Ag/ZrN/n-Si device makes set-stuck, causing permanent resistive switching failure. On the other hand, the analogue switching in the Ag/TiO2/ZrN/n-Si device, which could be adopted for the multi-bit data storage applications, is obtained. The gradual switching in Ag/TiO2/ZrN/n-Si device is achieved, possibly due to the suppressed Ag diffusion caused by TiO2 inserting layer. The current-voltage (I-V) switching characteristics of Ag/ZrN/n-Si and Ag/TiO2/ZrN/n-Si devices can be well verified by pulse transient. Finally, we established that the Ag/TiO2/ZrN/n-Si device is suitable for neuromorphic application through a comparison study of conductance update. This paper paves the way for neuromorphic application in nitride-based memristor devices.-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleImproved Stability and Controllability in ZrN-Based Resistive Memory Device by Inserting TiO2 Layer-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/mi11100905-
dc.identifier.scopusid2-s2.0-85092740760-
dc.identifier.wosid000582907500001-
dc.identifier.bibliographicCitationMICROMACHINES, v.11, no.10-
dc.citation.titleMICROMACHINES-
dc.citation.volume11-
dc.citation.number10-
dc.type.docTypeArticle-
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.keywordPlusRANDOM-ACCESS MEMORY-
dc.subject.keywordPlusSWITCHING MEMORIES-
dc.subject.keywordPlusMEMRISTOR-
dc.subject.keywordAuthormemristor-
dc.subject.keywordAuthorneuromorphic computing-
dc.subject.keywordAuthorresistive switching-
dc.subject.keywordAuthorzirconium nitride-
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