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Superionic Silver Halide Solid Electrolyte: Dielectric Property and Iontronic Memtransistor Application for Bioinspired Computing

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dc.contributor.authorMukherjee, Arka-
dc.contributor.authorMohanan, Kannan Udaya-
dc.contributor.authorSagar, Srikrishna-
dc.contributor.authorDas, Bikas C.-
dc.date.accessioned2024-02-15T02:00:18Z-
dc.date.available2024-02-15T02:00:18Z-
dc.date.issued2024-01-
dc.identifier.issn1616-301X-
dc.identifier.issn1616-3028-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/90417-
dc.description.abstractTechnology like high-level parallel information processing and storage in the brain remains a dream to the researchers using conventional solid-state electronics. Here, a robust thin film bilayer superionic dielectric of poly(ethylene oxide) (PEO) and rubidium silver iodide (RbAg4I5) is developed to fabricate solid-state iontronic synaptic memtransistors, which can serve as the basic building blocks for the hardware-implementation of neuromorphic computing. X-ray photoelectron spectroscopy and impedance measurements precisely confirm the stoichiometric composition of RbAg4I5 and dielectric nature combining with a PEO layer, respectively. The superionic bilayer PEO/RbAg4I5 gating effectively modulates the channel conductance analogously and displays memtransistor functionality. Interestingly, the transfer curves depict a colossal hysteresis yielding negative differential transconductance of peak-to-valley ratio up to 5 x 103 after the gate-controlled resistive switching. Systematic electrical characterizations reveal a variety of synaptic behaviors, including the inhibitory postsynaptic current, paired-pulse depression, and potentiation/depression curve. Finally, an artificial neural network for off-chip digit recognition is simulated to assess the performance of the device for the neuromorphic application and achieved a test accuracy of 95.94% on the Modified National Institute of Standards and Technology dataset. A robust solid-state iontronic synaptic memtransistor is developed using a bilayer thin-film dielectric of poly(ethylene oxide) and superionic rubidium silver iodide (RbAg4I5), which can serve as the basic building blocks for neuromorphic computing hardware-implementation. The transfer curves of this device depict a colossal hysteresis of resistive switching and yield an interesting signature of negative differential transconductance.image-
dc.language영어-
dc.language.isoENG-
dc.publisherWILEY-V C H VERLAG GMBH-
dc.titleSuperionic Silver Halide Solid Electrolyte: Dielectric Property and Iontronic Memtransistor Application for Bioinspired Computing-
dc.typeArticle-
dc.identifier.wosid001066325500001-
dc.identifier.doi10.1002/adfm.202304228-
dc.identifier.bibliographicCitationADVANCED FUNCTIONAL MATERIALS, v.34, no.1-
dc.description.isOpenAccessY-
dc.identifier.scopusid2-s2.0-85171450656-
dc.citation.titleADVANCED FUNCTIONAL MATERIALS-
dc.citation.volume34-
dc.citation.number1-
dc.type.docTypeArticle-
dc.publisher.location독일-
dc.subject.keywordAuthoriontronics-
dc.subject.keywordAuthornegative differential transconductance-
dc.subject.keywordAuthorneuromorphic computing-
dc.subject.keywordAuthorpattern recognition-
dc.subject.keywordAuthorrubidium silver iodide-
dc.subject.keywordAuthorsynaptic weight-
dc.subject.keywordPlusFIELD-EFFECT TRANSISTORS-
dc.subject.keywordPlusCRYSTAL-STRUCTURE-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
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.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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