Flexible artificial Si-In-Zn-O/ion gel synapse and its application to sensory-neuromorphic system for sign language translationopen access
- Authors
- Oh Seyong; Cho Jeong-Ick; Lee Byeong Hyeon; Seo Seunghwan; Lee Ju-Hee; Choo Hyongsuk; Heo Keun; Lee Sang Yeol; Park Jin-Hong
- Issue Date
- Oct-2021
- Publisher
- American Association for the Advancement of Science
- Citation
- Science Advances, v.7, no.44, pp 1 - 10
- Pages
- 10
- Indexed
- SCIE
SCOPUS
- Journal Title
- Science Advances
- Volume
- 7
- Number
- 44
- Start Page
- 1
- End Page
- 10
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/112834
- DOI
- 10.1126/sciadv.abg9450
- ISSN
- 2375-2548
- Abstract
- We propose a flexible artificial synapse based on a silicon-indium-zinc-oxide (SIZO)/ion gel hybrid structure directly fabricated on a polyimide substrate, where the channel conductance is effectively modulated via ion movement in the ion gel. This synaptic operation is possible because of the low-temperature deposition process of the SIZO layer (<150 degrees C) and the surface roughness improvement of the poly(4-vinylphenol) buffer layer (12.29 -> 1.81 nm). The flexible synaptic device exhibits extremely stable synaptic performance under high mechanical (bending 1500 times with a radius of 5 mm) and electrical stress (application of voltage pulses 10(4) times) without any degradation. Last, a sensory-neuromorphic system for sign language translation, which consists of stretchable resistive sensors and flexible artificial synapses, is designed and successfully evaluated via training and recognition simulation using hand sign patterns obtained by stretchable sensors (maximum recognition rate, 99.4%).
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Collections - COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

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