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Optically and electrically modulated artificial synapses based on MoS2/PZT ferroelectric field-effect transistor for neuromorphic computing system

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dc.contributor.authorChung, Woochan-
dc.contributor.authorKim, Doohyung-
dc.contributor.authorKim, Juri-
dc.contributor.authorPark, Jongmin-
dc.contributor.authorKim, Sungjun-
dc.contributor.authorLee, Sejoon-
dc.date.accessioned2025-03-05T01:43:05Z-
dc.date.available2025-03-05T01:43:05Z-
dc.date.issued2025-05-
dc.identifier.issn1005-0302-
dc.identifier.issn1941-1162-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/57809-
dc.description.abstractTo present an advanced device scheme of high-performance optoelectronic synapses, herein, we demonstrated the electrically- and/or optically-drivable multifaceted synaptic capabilities on the 2D semiconductor channel-based ferroelectric field-effect transistor (FeFET) architecture. The device was fabricated in the form of the MoS2 /PZT FeFET, and its synaptic weights were effectively controlled by dual stimuli ( i.e ., both electrical and optical pulses simultaneously) as well as single stimuli ( i.e ., either electrical or optical pulses alone). This could be attributed to the electrical pulse-tunable strong ferroelectric polarization in PbZrx Ti1-x O3 (PZT) as well as the polarization field-enhanced persistent photoconductivity effect in MoS2 . Additionally, it was confirmed that the proposed device possesses substantial activity, achieving approximately 95 % pattern recognition accuracy. The results substantiate the great potential of the 2D semiconductor channel-based FeFET device as a high-performance optoelectronic synaptic platform, marking a pivotal stride towards the realization of advanced neuromorphic computing systems. (c) 2024 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier Ltd-
dc.titleOptically and electrically modulated artificial synapses based on MoS2/PZT ferroelectric field-effect transistor for neuromorphic computing system-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.jmst.2024.06.058-
dc.identifier.scopusid2-s2.0-85206624263-
dc.identifier.wosid001341094000001-
dc.identifier.bibliographicCitationJournal of Materials Science & Technology, v.218, pp 25 - 34-
dc.citation.titleJournal of Materials Science & Technology-
dc.citation.volume218-
dc.citation.startPage25-
dc.citation.endPage34-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaMetallurgy & Metallurgical Engineering-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMetallurgy & Metallurgical Engineering-
dc.subject.keywordPlusLAYER-
dc.subject.keywordPlusPOLARIZATION-
dc.subject.keywordPlusINTERFACE-
dc.subject.keywordPlusDENSITY-
dc.subject.keywordPlusSTORAGE-
dc.subject.keywordPlusDEVICE-
dc.subject.keywordAuthorMolybdenum disulfide-
dc.subject.keywordAuthorLead zirconate titanate-
dc.subject.keywordAuthorFerroelectric field-effect transistor-
dc.subject.keywordAuthorOptoelectronic artificial synapse-
dc.subject.keywordAuthorNeuromorphic computing-
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College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles
College of Advanced Convergence Engineering > Division of System Semiconductor > 1. Journal Articles

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