Solar-stimulated optoelectronic synapse based on organic heterojunction with linearly potentiated synaptic weight for neuromorphic computing
DC Field | Value | Language |
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dc.contributor.author | Qian Chuan | - |
dc.contributor.author | Oh Seyong | - |
dc.contributor.author | Choi Yongsuk | - |
dc.contributor.author | Kim Jeong-Hoon | - |
dc.contributor.author | Sun Jia | - |
dc.contributor.author | Huang Han | - |
dc.contributor.author | Yang Junliang | - |
dc.contributor.author | Gao Yongli | - |
dc.contributor.author | Park Jin-Hong | - |
dc.contributor.author | Cho Jeong Ho | - |
dc.date.accessioned | 2023-08-16T07:30:09Z | - |
dc.date.available | 2023-08-16T07:30:09Z | - |
dc.date.issued | 2019-12 | - |
dc.identifier.issn | 2211-2855 | - |
dc.identifier.issn | 2211-3282 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113741 | - |
dc.description.abstract | We report an artificial optoelectronic synapse based on a copper-phthalocyanine (CuPc) and para-sexiphenyl (p-6P) heterojunction structure. This device features stable conductance states and their linear distribution in long-term potentiation (LTP) characteristic curve formed by continuous input light pulses. These superior synaptic characteristics originate from the fact that the number of photo-holes moving into the CuPc channel and photoelectrons being trapped at the p-6P/dielectric interface is constant at every light pulse. A single-layer neural network is theoretically formed with these optoelectronic synaptic devices and its feasibility is studied in terms of training/recognition tasks of the Modified National Institute of Standards and Technology digit image patterns. Owing to the excellent LTP characteristic and through the use of a unidirectional update method, its maximum recognition rate is as high as 78% despite the use of a single-layer network. This study is expected to provide a foundation for future studies on optoelectronic synaptic devices toward the implementation of complex artificial neural networks. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Elsevier BV | - |
dc.title | Solar-stimulated optoelectronic synapse based on organic heterojunction with linearly potentiated synaptic weight for neuromorphic computing | - |
dc.type | Article | - |
dc.publisher.location | 네델란드 | - |
dc.identifier.doi | 10.1016/j.nanoen.2019.104095 | - |
dc.identifier.scopusid | 2-s2.0-85072066051 | - |
dc.identifier.wosid | 000503062400015 | - |
dc.identifier.bibliographicCitation | Nano Energy, v.66, pp 1 - 8 | - |
dc.citation.title | Nano Energy | - |
dc.citation.volume | 66 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 8 | - |
dc.description.isOpenAccess | N | - |
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, Physical | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.subject.keywordAuthor | Band engineering | - |
dc.subject.keywordAuthor | Neuromorphic computing | - |
dc.subject.keywordAuthor | Organic heterojunction | - |
dc.subject.keywordAuthor | Pattern recognition | - |
dc.subject.keywordAuthor | Solar-stimulated optoelectronic synapse | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S221128551930802X | - |
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