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Nanochannel-Based Transport in an Interfacial Memristor Can Emulate the Analog Weight Modulation of Synapses
Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Sch Opt & Elect Informat, Wuhan 430074, Hubei, Peoples R China.
Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Sch Opt & Elect Informat, Wuhan 430074, Hubei, Peoples R China.
Huazhong Univ Sci & Technol, Sch Mat Sci & Engn, Wuhan 430074, Hubei, Peoples R China.
Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Sch Opt & Elect Informat, Wuhan 430074, Hubei, Peoples R China.
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2019 (English)In: Nano letters (Print), ISSN 1530-6984, E-ISSN 1530-6992, Vol. 19, no 7, p. 4279-4286Article in journal (Refereed) Published
Abstract [en]

By exploiting novel transport phenomena such as ion selectivity at the nanoscale, it has been shown that nanochannel systems can exhibit electrically controllable conductance, suggesting their potential use in neuromorphic devices. However, several critical features of biological synapses, particularly their conductance modulation, which is both memorable and gradual, have rarely been reported in these types of systems due to the fast flow property of typical inorganic electrolytes. In this work, we demonstrate that electrically manipulating the nanochannel conductance can result in nonvolatile conductance tuning capable of mimicking the analog behavior of synapses by introducing a room-temperature ionic liquid (IL) and a KCl solution into the two ends of a nanochannel system. The gradual conductance-tuning mechanism is identified through fluorescence measurements as the voltage-induced movement of the interface between the immiscible IL and KCl solution, while the successful memorization of the conductance tuning is ascribed to the large viscosity of the IL. We applied a nanochannel-based synapse to a handwritten digit-recognition task, reaching an accuracy of 94%. These promising results provide important guidance for the future design of nanochannel-based neuromorphic devices and the manipulation of nanochannel transport for computing.

Place, publisher, year, edition, pages
AMER CHEMICAL SOC , 2019. Vol. 19, no 7, p. 4279-4286
Keywords [en]
Nanochannel systems, interfacial memristor, synapse, fluorescence
National Category
Nano Technology
Identifiers
URN: urn:nbn:se:uu:diva-391027DOI: 10.1021/acs.nanolett.9b00525ISI: 000475533900009PubMedID: 31150262OAI: oai:DiVA.org:uu-391027DiVA, id: diva2:1343714
Funder
Swedish Research Council, 2017-04627Available from: 2019-08-19 Created: 2019-08-19 Last updated: 2019-08-19Bibliographically approved

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Scheicher, Ralph H.

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