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Forming-free Pt/Al2O3/HfO2/HfAlOx/TiN memristor with controllable multilevel resistive switching and neuromorphic characteristics for artificial synapse

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dc.contributor.authorIsmail, Muhammad-
dc.contributor.authorMahata, Chandreswar-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2023-04-27T13:40:22Z-
dc.date.available2023-04-27T13:40:22Z-
dc.date.issued2022-02-
dc.identifier.issn0925-8388-
dc.identifier.issn1873-4669-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/3585-
dc.description.abstractControllable multilevel resistive switching (RS) and neuromorphic characteristics emerges as a promising paradigm to build power-efficient computing hardware for high density data storage memory and artificial intelligence. Nevertheless, the current nonvolatile memory still endures from reliability and variability of the memristors. In this work, Pt/Al2O3/HfO2/HfAlOx/TiN multilayer memristor was prepared by using atomic layer deposition (ALD) to examine the well-regulated multilevel RS and neuromorphic properties. The memristor was found to demonstrate admirable RS properties, including forming-free, low operating voltage (Set/Reset), high switching ratio (> 100), multi-level retention time (10(4) s), and good durability (1000 switching cycles). Furthermore, seven and four resistance states can be accomplished by modulating CC through set-operation and stop-voltage during the reset-operation. By modulating the multi-level resistance state, the electronic synapse can simulate synaptic plasticity, such as potentiation/depression, paired pulse facilitation (PPF) and spike-timing-dependent plasticity (STDP). Results show that a multilayer memristor has potential in the application of multilevel data storage memory and bionic portable electronic devices. (C) 2021 Elsevier B.V. All rights reserved.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier B.V.-
dc.titleForming-free Pt/Al2O3/HfO2/HfAlOx/TiN memristor with controllable multilevel resistive switching and neuromorphic characteristics for artificial synapse-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.jallcom.2021.162141-
dc.identifier.scopusid2-s2.0-85116096233-
dc.identifier.wosid000705005000001-
dc.identifier.bibliographicCitationJournal of Alloys and Compounds, v.892, pp 1 - 10-
dc.citation.titleJournal of Alloys and Compounds-
dc.citation.volume892-
dc.citation.startPage1-
dc.citation.endPage10-
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.keywordPlusTIMING-DEPENDENT PLASTICITY-
dc.subject.keywordPlusCERIA THIN-FILMS-
dc.subject.keywordPlusBIPOLAR-
dc.subject.keywordPlusCOEXISTENCE-
dc.subject.keywordPlusTRANSITION-
dc.subject.keywordPlusUNIPOLAR-
dc.subject.keywordPlusLOGIC-
dc.subject.keywordAuthorWearable electronics-
dc.subject.keywordAuthorNeuromorphic systems-
dc.subject.keywordAuthorElectronic synapse-
dc.subject.keywordAuthorMultilayer memristor-
dc.subject.keywordAuthorNon-volatile memory-
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