Superionic Silver Halide Solid Electrolyte: Dielectric Property and Iontronic Memtransistor Application for Bioinspired Computing
DC Field | Value | Language |
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dc.contributor.author | Mukherjee, Arka | - |
dc.contributor.author | Mohanan, Kannan Udaya | - |
dc.contributor.author | Sagar, Srikrishna | - |
dc.contributor.author | Das, Bikas C. | - |
dc.date.accessioned | 2024-02-15T02:00:18Z | - |
dc.date.available | 2024-02-15T02:00:18Z | - |
dc.date.issued | 2024-01 | - |
dc.identifier.issn | 1616-301X | - |
dc.identifier.issn | 1616-3028 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/90417 | - |
dc.description.abstract | Technology 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.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | WILEY-V C H VERLAG GMBH | - |
dc.title | Superionic Silver Halide Solid Electrolyte: Dielectric Property and Iontronic Memtransistor Application for Bioinspired Computing | - |
dc.type | Article | - |
dc.identifier.wosid | 001066325500001 | - |
dc.identifier.doi | 10.1002/adfm.202304228 | - |
dc.identifier.bibliographicCitation | ADVANCED FUNCTIONAL MATERIALS, v.34, no.1 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85171450656 | - |
dc.citation.title | ADVANCED FUNCTIONAL MATERIALS | - |
dc.citation.volume | 34 | - |
dc.citation.number | 1 | - |
dc.type.docType | Article | - |
dc.publisher.location | 독일 | - |
dc.subject.keywordAuthor | iontronics | - |
dc.subject.keywordAuthor | negative differential transconductance | - |
dc.subject.keywordAuthor | neuromorphic computing | - |
dc.subject.keywordAuthor | pattern recognition | - |
dc.subject.keywordAuthor | rubidium silver iodide | - |
dc.subject.keywordAuthor | synaptic weight | - |
dc.subject.keywordPlus | FIELD-EFFECT TRANSISTORS | - |
dc.subject.keywordPlus | CRYSTAL-STRUCTURE | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Physical | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.relation.journalWebOfScienceCategory | Physics, Condensed Matter | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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