Vertical organic synapse expandable to 3D crossbar array
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi Yongsuk | - |
dc.contributor.author | Oh Seyong | - |
dc.contributor.author | Qian Chuan | - |
dc.contributor.author | Park Jin-Hong | - |
dc.contributor.author | Cho Jeong Ho | - |
dc.date.accessioned | 2023-08-16T07:30:19Z | - |
dc.date.available | 2023-08-16T07:30:19Z | - |
dc.date.issued | 2020-09 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113743 | - |
dc.description.abstract | Recently, three-terminal synaptic devices have attracted considerable attention owing to their nondestructive weight-update behavior, which is attributed to the completely separated terminals for reading and writing. However, the structural limitations of these devices, such as a low array density and complex line design, are predicted to result in low processing speeds and high energy consumption of the entire system. Here, we propose a vertical threeterminal synapse featuring a remote weight update via ion gel, which is also extendable to a crossbar array structure. This synaptic device exhibits excellent synaptic characteristics, which are achieved via precise control of ion penetration onto the vertical channel through the weight-control terminal. Especially, the applicability of the developed vertical organic synapse array to neuromorphic computing is demonstrated using a simple crossbar synapse array. The proposed synaptic device technology is expected to be an important steppingstone to the development of high-performance and high-density neural networks. | - |
dc.format.extent | 19 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Nature Publishing Group | - |
dc.title | Vertical organic synapse expandable to 3D crossbar array | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1038/s41467-020-17850-w | - |
dc.identifier.scopusid | 2-s2.0-85090977345 | - |
dc.identifier.wosid | 000607150300006 | - |
dc.identifier.bibliographicCitation | Nature Communications, v.11, no.1, pp 1 - 19 | - |
dc.citation.title | Nature Communications | - |
dc.citation.volume | 11 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 19 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.subject.keywordPlus | DEVICE | - |
dc.subject.keywordPlus | MEMORY | - |
dc.subject.keywordPlus | TRANSISTORS | - |
dc.subject.keywordPlus | NETWORK | - |
dc.identifier.url | https://www.nature.com/articles/s41467-020-17850-w | - |
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