Cited 19 time in
Memristors with Nociceptor Characteristics Using Threshold Switching of Pt/HfO2/TaOx/TaN Devices
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Park, Minsu | - |
| dc.contributor.author | Jeon, Beomki | - |
| dc.contributor.author | Park, Jongmin | - |
| dc.contributor.author | Kim, Sungjun | - |
| dc.date.accessioned | 2024-08-08T11:31:48Z | - |
| dc.date.available | 2024-08-08T11:31:48Z | - |
| dc.date.issued | 2022-12 | - |
| dc.identifier.issn | 2079-4991 | - |
| dc.identifier.issn | 2079-4991 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/21802 | - |
| dc.description.abstract | As 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.extent | 9 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | Memristors with Nociceptor Characteristics Using Threshold Switching of Pt/HfO2/TaOx/TaN Devices | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/nano12234206 | - |
| dc.identifier.scopusid | 2-s2.0-85143606469 | - |
| dc.identifier.wosid | 000896542300001 | - |
| dc.identifier.bibliographicCitation | Nanomaterials, v.12, no.23, pp 1 - 9 | - |
| dc.citation.title | Nanomaterials | - |
| dc.citation.volume | 12 | - |
| dc.citation.number | 23 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 9 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.subject.keywordPlus | PROSPECTS | - |
| dc.subject.keywordPlus | NEURONS | - |
| dc.subject.keywordAuthor | RRAM | - |
| dc.subject.keywordAuthor | nociceptor | - |
| dc.subject.keywordAuthor | threshold switching | - |
| dc.subject.keywordAuthor | high-k | - |
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