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Cited 19 time in webofscience Cited 19 time in scopus
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Memristors with Nociceptor Characteristics Using Threshold Switching of Pt/HfO2/TaOx/TaN Devices

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dc.contributor.authorPark, Minsu-
dc.contributor.authorJeon, Beomki-
dc.contributor.authorPark, Jongmin-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2024-08-08T11:31:48Z-
dc.date.available2024-08-08T11:31:48Z-
dc.date.issued2022-12-
dc.identifier.issn2079-4991-
dc.identifier.issn2079-4991-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/21802-
dc.description.abstractAs artificial intelligence technology advances, it is necessary to imitate various biological functions to complete more complex tasks. Among them, studies have been reported on the nociceptor, a critical receptor of sensory neurons that can detect harmful stimuli. Although a complex CMOS circuit is required to electrically realize a nociceptor, a memristor with threshold switching characteristics can implement the nociceptor as a single device. Here, we suggest a memristor with a Pt/HfO2/TaOx/TaN bilayer structure. This device can mimic the characteristics of a nociceptor including the threshold, relaxation, allodynia, and hyperalgesia. Additionally, we contrast different electrical properties according to the thickness of the HfO2 layer. Moreover, Pt/HfO2/TaOx/TaN with a 3 nm thick HfO2 layer has a stable endurance of 1000 cycles and controllable threshold switching characteristics. Finally, this study emphasizes the importance of the material selection and fabrication method in the memristor by comparing Pt/HfO2/TaOx/TaN with Pt/TaOx/TaN, which has insufficient performance to be used as a nociceptor.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleMemristors with Nociceptor Characteristics Using Threshold Switching of Pt/HfO2/TaOx/TaN Devices-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/nano12234206-
dc.identifier.scopusid2-s2.0-85143606469-
dc.identifier.wosid000896542300001-
dc.identifier.bibliographicCitationNanomaterials, v.12, no.23, pp 1 - 9-
dc.citation.titleNanomaterials-
dc.citation.volume12-
dc.citation.number23-
dc.citation.startPage1-
dc.citation.endPage9-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusPROSPECTS-
dc.subject.keywordPlusNEURONS-
dc.subject.keywordAuthorRRAM-
dc.subject.keywordAuthornociceptor-
dc.subject.keywordAuthorthreshold switching-
dc.subject.keywordAuthorhigh-k-
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