Cited 9 time in
Artificial Synapse Emulated by Indium Tin Oxide/SiN/TaN Resistive Switching Device for Neuromorphic System
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ju, Dongyeol | - |
| dc.contributor.author | Kim, Sunghun | - |
| dc.contributor.author | Kim, Sungjun | - |
| dc.date.accessioned | 2024-08-08T05:30:48Z | - |
| dc.date.available | 2024-08-08T05:30:48Z | - |
| dc.date.issued | 2023-09 | - |
| dc.identifier.issn | 2079-4991 | - |
| dc.identifier.issn | 2079-4991 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/18652 | - |
| dc.description.abstract | In this paper, we fabricate an ITO/SiN/TaN memristor device and analyze its electrical characteristics for a neuromorphic system. The device structure and chemical properties are investigated using transmission electron microscopy and X-ray photoelectron spectroscopy. Uniform bipolar switching is achieved through DC sweep under a compliance current of 5 mA. Also, the analog reset phenomenon is observed by modulating the reset voltage for long-term memory. Additionally, short-term memory characteristics are obtained by controlling the strength of the pulse response. Finally, bio-inspired synaptic characteristics are emulated using Hebbian learning rules such as spike-rate-dependent plasticity (SRDP) and spike-timing-dependent plasticity (STDP). As a result, we believe that the coexistence of short-term and long-term memories in the ITO/SiN/TaN device can provide flexibility in device design in future neuromorphic applications. | - |
| dc.format.extent | 13 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | Artificial Synapse Emulated by Indium Tin Oxide/SiN/TaN Resistive Switching Device for Neuromorphic System | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/nano13172477 | - |
| dc.identifier.scopusid | 2-s2.0-85170393157 | - |
| dc.identifier.wosid | 001062779000001 | - |
| dc.identifier.bibliographicCitation | Nanomaterials, v.13, no.17, pp 1 - 13 | - |
| dc.citation.title | Nanomaterials | - |
| dc.citation.volume | 13 | - |
| dc.citation.number | 17 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 13 | - |
| 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 | THIN-FILMS | - |
| dc.subject.keywordPlus | MEMORY | - |
| dc.subject.keywordPlus | PERFORMANCE | - |
| dc.subject.keywordPlus | PLASTICITY | - |
| dc.subject.keywordPlus | OPERATIONS | - |
| dc.subject.keywordPlus | LAYER | - |
| dc.subject.keywordPlus | SIO2 | - |
| dc.subject.keywordAuthor | resistive switching | - |
| dc.subject.keywordAuthor | neuromorphic system | - |
| dc.subject.keywordAuthor | synaptic plasticity | - |
| dc.subject.keywordAuthor | Hebbian learning rules | - |
| dc.subject.keywordAuthor | short-term memory | - |
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