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Cited 10 time in webofscience Cited 12 time in scopus
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Core-Shell Dual-Gate Nanowire Charge-Trap Memory for Synaptic Operations for Neuromorphic Applications

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dc.contributor.authorAnsari, M.H.R.-
dc.contributor.authorKannan, U.M.-
dc.contributor.authorCho, Seongjae-
dc.date.accessioned2021-08-02T02:41:07Z-
dc.date.available2021-08-02T02:41:07Z-
dc.date.created2021-07-12-
dc.date.issued2021-07-
dc.identifier.issn2079-4991-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81800-
dc.description.abstractThis work showcases the physical insights of a core-shell dual-gate (CSDG) nanowire transistor as an artificial synaptic device with short/long-term potentiation and long-term depres-sion (LTD) operation. Short-term potentiation (STP) is a temporary potentiation of a neural net-work, and it can be transformed into long-term potentiation (LTP) through repetitive stimulus. In this work, floating body effects and charge trapping are utilized to show the transition from STP to LTP while de-trapping the holes from the nitride layer shows the LTD operation. Furthermore, linearity and symmetry in conductance are achieved through optimal device design and biases. In a system-level simulation, with CSDG nanowire transistor a recognition accuracy of up to 92.28% is obtained in the Modified National Institute of Standards and Technology (MNIST) pattern recognition task. Complementary metal-oxide-semiconductor (CMOS) compatibility and high recognition accuracy makes the CSDG nanowire transistor a promising candidate for the implementation of neuromorphic hardware. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.-
dc.language영어-
dc.language.isoen-
dc.publisherMDPI-
dc.relation.isPartOfNanomaterials-
dc.titleCore-Shell Dual-Gate Nanowire Charge-Trap Memory for Synaptic Operations for Neuromorphic Applications-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000676651600001-
dc.identifier.doi10.3390/nano11071773-
dc.identifier.bibliographicCitationNanomaterials, v.11, no.7-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85109170631-
dc.citation.titleNanomaterials-
dc.citation.volume11-
dc.citation.number7-
dc.contributor.affiliatedAuthorAnsari, M.H.R.-
dc.contributor.affiliatedAuthorKannan, U.M.-
dc.contributor.affiliatedAuthorCho, Seongjae-
dc.type.docTypeArticle-
dc.subject.keywordAuthorBand-to-band tunneling-
dc.subject.keywordAuthorCharge-trap synaptic transistor-
dc.subject.keywordAuthorLong-term potentiation (LTP)-
dc.subject.keywordAuthorNeural network-
dc.subject.keywordAuthorNeuromorphic system-
dc.subject.keywordAuthorPattern recognition-
dc.subject.keywordAuthorShort-term potentiation (STP)-
dc.subject.keywordPlusFIELD-EFFECT TRANSISTOR-
dc.subject.keywordPlus1T DRAM-
dc.subject.keywordPlusJUNCTIONLESS FET-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusSILICON-
dc.subject.keywordPlusRETENTION-
dc.subject.keywordPlusDEVICE-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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