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[논문] Advancement in Soft Iontronic Resistive Memory Devices and Their Application for Neuromorphic Computing

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논문제목(Title)

[논문] Advancement in Soft Iontronic Resistive Memory Devices and Their Application for Neuromorphic Computing

학술지명(Journal)

Advanced Intelligent Systems

ImpactFactor

7.298

ISSN_ISBN

EISSN: 2640-4567

학술지볼륨권호(Volume)

5(2)

SCI구분

SCIE

초록(Abstract)

The aqueous electrolyte can be a deformable and stretchable liquid material for iontronic resistive memory devices. An aqueous medium makes a device closer to the brain-like system with the movement of ions. This review paper proposes advances in liquid resistive memories and neuromorphic computing behavior to emulate electronic synapses. Primarily, the aqueous iontronic resistive memories can be used to study electrode and active layer materials and different device structures. Hence, herein, a timely and comprehensive study of these devices using ionic liquids, hydrogels, salt solutions, and soft electrodes to classify the device mechanism is presented. The filament formation is discussed in detail based on ion concentration polarization, electrode metallization, and movements of ions and charged molecules, which result in the formation of the metal dendrite. To manufacture a higher-performance memory, device parameters should be optimized based on aqueous electrolytes, electrode materials, and other device design parameters. Aqueous electrolytes have smooth neurotransmission ability to fabricate brain-inspired resistive memories with stable performance and device repeatability with smooth ion transmission. Aqueous electrode materials can be reliable for neural interface activities to compute electronic synapsis with electrical and chemical properties to ensure device reliability for a longer time period.

저자명(Author)

Muhammad Umair Khan, Jungmin Kim, Mahesh Y. Chougale, Rayyan Ali Shaukat, Qazi Muhammad Saqib, Swapnil R. Patil, Baker Mohammad, and Jinho Bae

학술지출판일자(PublicationDate)

2022.12.08

DMP

연구책임자 / 소속

배진호

당해연구기간

2022.03.01-2023.02.28

공개 및 라이선스

공개 일자

2023-01-11

라이선스

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이 데이터의 저작권은 <연구자 기관/그룹/사용자>에게 있습니다.

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2023-01-11
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  • Version 1 2023-01-11
Cite as
Muhammad Umair Khan, Jungmin Kim, Mahesh Y. Chougale, Rayyan Ali Shaukat, Qazi Muhammad Saqib, Swapnil R. Patil, Baker Mohammad, and Jinho Bae, 2022.12.08, [논문] Advancement in Soft Iontronic Resistive Memory Devices and Their Application for Neuromorphic Computing
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