Rational Band Engineering of an Organic Double Heterojunction for Artificial Synaptic Devices with Enhanced State Retention and Linear Update of Synaptic Weight
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Qian Chuan | - |
dc.contributor.author | Oh Seyong | - |
dc.contributor.author | Choi Yongsuk | - |
dc.contributor.author | Seo Seunghwan | - |
dc.contributor.author | Sun Jia | - |
dc.contributor.author | Park Jin-Hong | - |
dc.contributor.author | Cho Jeong Ho | - |
dc.date.accessioned | 2023-08-16T07:30:06Z | - |
dc.date.available | 2023-08-16T07:30:06Z | - |
dc.date.issued | 2020-03 | - |
dc.identifier.issn | 1944-8244 | - |
dc.identifier.issn | 1944-8252 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113740 | - |
dc.description.abstract | Herein, we propose an organic double heterojunction to enable a nonvolatile step modulation of the conductance of an artificial synapse; the double heterojunction is composed of N,N'-dioctyl-3,4,9,10-perylene tetracarboxylic dii-mide (PTCDI-C-8), copper phthalocyanine (CuPc), and parasexiphenyl (p-6P). The carrier confinement in the CuPc region present in the double-heterojunction structure enabled the nonvolatile modulation of the postsynaptic current. The proposed organic synapse exhibited an excellent conductance change, characteristic with a nonlinearity (NL) value below 0.01 in the long-term potentiation (LTP) region. Furthermore, the NL value for long-term depression (LTD) could be reduced effectively from 45 to 3.5 by a pulse modulation technique. A simple artificial neural network (ANN) was theoretically designed using the LTP/LTD characteristic curves of such organic synapses, and then, learning and recognition tasks were performed using Modified National Institute of Standards and Technology digit images. A four-amplitude weight update method enabled considerable enhancement of the recognition rate from 53 to 70%. Although the designed ANN was based on a single-layer perceptron model, a high maximum accuracy of 75% was achieved. These newly studied techniques for synaptic devices are expected to open up new possibilities for the realization of artificial synapses based on organic double heterojunctions. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | American Chemical Society | - |
dc.title | Rational Band Engineering of an Organic Double Heterojunction for Artificial Synaptic Devices with Enhanced State Retention and Linear Update of Synaptic Weight | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1021/acsami.9b22319 | - |
dc.identifier.scopusid | 2-s2.0-8508004297 | - |
dc.identifier.wosid | 000518702300069 | - |
dc.identifier.bibliographicCitation | ACS Applied Materials & Interfaces, v.12, no.9, pp 10737 - 10745 | - |
dc.citation.title | ACS Applied Materials & Interfaces | - |
dc.citation.volume | 12 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 10737 | - |
dc.citation.endPage | 10745 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.subject.keywordPlus | MEMORY | - |
dc.subject.keywordPlus | TRANSISTORS | - |
dc.subject.keywordPlus | NETWORK | - |
dc.subject.keywordAuthor | artificial synapse | - |
dc.subject.keywordAuthor | band engineering | - |
dc.subject.keywordAuthor | neuromorphic computing | - |
dc.subject.keywordAuthor | organic heterojunction | - |
dc.subject.keywordAuthor | pattern recognition | - |
dc.identifier.url | https://pubs.acs.org/doi/10.1021/acsami.9b22319?src=getftr | - |
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