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A Bioinspired Stretchable Sensory-Neuromorphic System

Authors
Kim, Sun HongBaek, Geun WooYoon, JiyongSeo, SeunghwanPark, JinhongHahm, DonghyoChang, Jun HyukSeong, DuhwanSeo, HyunseonOh, SeyongKim, KyunghwanJung, HeeyoungOh, YoungsuBaac, Hyoung WonAlimkhanuly, BatyrbekBae, Wan KiLee, SeunghyunLee, MinbaekKwak, JeonghunPark, Jin-HongSon, Donghee
Issue Date
Nov-2021
Publisher
WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Keywords
capacitive sensor; golden tortoise beetle; neuromorphic device; quantum dot light-emitting diode; resistive random-access memory; sinter-free printable conductor
Citation
Advanced Materials, v.33, no.44, pp 1 - 12
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
Advanced Materials
Volume
33
Number
44
Start Page
1
End Page
12
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113717
DOI
10.1002/adma.202104690
ISSN
0935-9648
1521-4095
Abstract
Conventional stretchable electronics that adopt a wavy design, a neutral mechanical plane, and conformal contact between abiotic and biotic interfaces have exhibited diverse skin-interfaced applications. Despite such remarkable progress, the evolution of intelligent skin prosthetics is challenged by the absence of the monolithic integration of neuromorphic constituents into individual sensing and actuating components. Herein, a bioinspired stretchable sensory-neuromorphic system, comprising an artificial mechanoreceptor, artificial synapse, and epidermal photonic actuator is demonstrated; these three biomimetic functionalities correspond to a stretchable capacitive pressure sensor, a resistive random-access memory, and a quantum dot light-emitting diode, respectively. This system features a rigid-island structure interconnected with a sinter-free printable conductor, which is optimized by controlling the evaporation rate of solvent (≈160% stretchability and ≈18 550 S cm−1 conductivity). Devised design improves both areal density and structural reliability while avoiding the thermal degradation of heat-sensitive stretchable electronic components. Moreover, even in the skin deformation range, the system accurately recognizes various patterned stimuli via an artificial neural network with training/inferencing functions. Therefore, the new bioinspired system is expected to be an important step toward implementing intelligent wearable electronics. © 2021 Wiley-VCH GmbH
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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