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dc.contributor.authorHuh, Woong-
dc.contributor.authorLee, Donghun-
dc.contributor.authorJang, Seonghoon-
dc.contributor.authorKang, Jung Hoon-
dc.contributor.authorYoon, Tae Hyun-
dc.contributor.authorSo, Jae-Pil-
dc.contributor.authorKim, Yeon Ho-
dc.contributor.authorKim, Jong Chan-
dc.contributor.authorPark, Hong-Gyu-
dc.contributor.authorJeong, Hu Young-
dc.contributor.authorWang, Gunuk-
dc.contributor.authorLee, Chul-Ho-
dc.date.accessioned2024-01-19T09:30:10Z-
dc.date.available2024-01-19T09:30:10Z-
dc.date.created2023-11-15-
dc.date.issued2023-06-
dc.identifier.issn0935-9648-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/113613-
dc.description.abstractHeterosynaptic neuromodulation is a key enabler for energy-efficient and high-level biological neural processing. However, such manifold synaptic modulation cannot be emulated using conventional memristors and synaptic transistors. Thus, reported herein is a three-terminal heterosynaptic memtransistor using an intentional-defect-generated molybdenum disulfide channel. Particularly, the defect-mediated space-charge-limited conduction in the ultrathin channel results in memristive switching characteristics between the source and drain terminals, which are further modulated using a gate terminal according to the gate-tuned filling of trap states. The device acts as an artificial synapse controlled by sub-femtojoule impulses from both the source and gate terminals, consuming lower energy than its biological counterpart. In particular, electrostatic gate modulation, corresponding to biological neuromodulation, additionally regulates the dynamic range and tuning rate of the synaptic weight, independent of the programming (source) impulses. Notably, this heterosynaptic modulation not only improves the learning accuracy and efficiency but also reduces energy consumption in the pattern recognition. Thus, the study presents a new route leading toward the realization of highly networked and energy-efficient neuromorphic electronics.-
dc.languageEnglish-
dc.publisherWILEY-VCH Verlag GmbH & Co. KGaA, Weinheim-
dc.titleHeterosynaptic MoS2 Memtransistors Emulating Biological Neuromodulation for Energy-Efficient Neuromorphic Electronics-
dc.typeArticle-
dc.identifier.doi10.1002/adma.202211525-
dc.description.journalClass1-
dc.identifier.bibliographicCitationAdvanced Materials, v.35, no.24-
dc.citation.titleAdvanced Materials-
dc.citation.volume35-
dc.citation.number24-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000977955100001-
dc.identifier.scopusid2-s2.0-85154041859-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.type.docTypeArticle-
dc.subject.keywordPlusCHARGE-LIMITED CURRENTS-
dc.subject.keywordPlusMEMRISTOR-
dc.subject.keywordPlusSYNAPSE-
dc.subject.keywordPlusDEVICE-
dc.subject.keywordAuthor2D materials-
dc.subject.keywordAuthormemtransistors-
dc.subject.keywordAuthorneuromorphic electronics-
dc.subject.keywordAuthortransition metal dichalcogenides-
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KIST Article > 2023
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