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정후영

Jeong, Hu Young
UCRF Electron Microscopy group
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dc.citation.number 35 -
dc.citation.startPage 1801447 -
dc.citation.title ADVANCED MATERIALS -
dc.citation.volume 30 -
dc.contributor.author Huh, Woong -
dc.contributor.author Jang, Seonghoon -
dc.contributor.author Lee, Jae Yoon -
dc.contributor.author Lee, Donghun -
dc.contributor.author Lee, Jung Min -
dc.contributor.author Park, Hong-Gyu -
dc.contributor.author Kim, Jong Chan -
dc.contributor.author Jeong, Hu Young -
dc.contributor.author Wang, Gunuk -
dc.contributor.author Lee, Chul-Ho -
dc.date.accessioned 2023-12-21T20:18:50Z -
dc.date.available 2023-12-21T20:18:50Z -
dc.date.created 2018-09-19 -
dc.date.issued 2018-08 -
dc.description.abstract The development of energy-efficient artificial synapses capable of manifoldly tuning synaptic activities can provide a significant breakthrough toward novel neuromorphic computing technology. Here, a new class of artificial synaptic architecture, a three-terminal device consisting of a vertically integrated monolithic tungsten oxide memristor, and a variable-barrier tungsten selenide/graphene Schottky diode, termed as a 'synaptic barrister,' are reported. The device can implement essential synaptic characteristics, such as short-term plasticity, long-term plasticity, and paired-pulse facilitation. Owing to the electrostatically controlled barrier height in the ultrathin van der Waals heterostructure, the device exhibits gate-controlled memristive switching characteristics with tunable programming voltages of 0.2-0.5 V. Notably, by electrostatic tuning with a gate terminal, it can additionally regulate the degree and tuning rate of the synaptic weight independent of the programming impulses from source and drain terminals. Such gate tunability cannot be accomplished by previously reported synaptic devices such as memristors and synaptic transistors only mimicking the two-neuronal-based synapse. These capabilities eventually enable the accelerated consolidation and conversion of synaptic plasticity, functionally analogous to the synapse with an additional neuromodulator in biological neural networks. -
dc.identifier.bibliographicCitation ADVANCED MATERIALS, v.30, no.35, pp.1801447 -
dc.identifier.doi 10.1002/adma.201801447 -
dc.identifier.issn 0935-9648 -
dc.identifier.scopusid 2-s2.0-85050502382 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/24930 -
dc.identifier.url https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.201801447 -
dc.identifier.wosid 000442732400008 -
dc.language 영어 -
dc.publisher WILEY-V C H VERLAG GMBH -
dc.title Synaptic Barristor Based on Phase-Engineered 2D Heterostructures -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Chemistry, Multidisciplinary; Chemistry, Physical; Nanoscience & Nanotechnology; Materials Science, Multidisciplinary; Physics, Applied; Physics, Condensed Matter -
dc.relation.journalResearchArea Chemistry; Science & Technology - Other Topics; Materials Science; Physics -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor 2D materials -
dc.subject.keywordAuthor artificial synapse -
dc.subject.keywordAuthor barristor -
dc.subject.keywordAuthor heterostructure -
dc.subject.keywordAuthor memristor -
dc.subject.keywordAuthor neuromorphic application -
dc.subject.keywordPlus DER-WAALS HETEROSTRUCTURES -
dc.subject.keywordPlus MEMRISTIVE DEVICES -
dc.subject.keywordPlus TRANSISTORS -
dc.subject.keywordPlus MEMORY -
dc.subject.keywordPlus PLASTICITY -
dc.subject.keywordPlus TRANSPORT -
dc.subject.keywordPlus MECHANISM -
dc.subject.keywordPlus ASTROCYTES -
dc.subject.keywordPlus SYNAPSES -
dc.subject.keywordPlus SYSTEMS -

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