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Highly Stable Artificial Synapse Consisting of Low-Surface Defect van der Waals and Self-Assembled Materials

Authors
Oh SeyongJung SooyoungAli Muhammad HasnainKim Jeong-HoonKim HyeongjunPark Jin-Hong
Issue Date
Aug-2020
Publisher
American Chemical Society
Keywords
APTES; artificial synapses; neuromorphic computing; pattern recognition; vdW materials
Citation
ACS Applied Materials & Interfaces, v.12, no.34, pp 38299 - 38305
Pages
7
Indexed
SCIE
SCOPUS
Journal Title
ACS Applied Materials & Interfaces
Volume
12
Number
34
Start Page
38299
End Page
38305
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113739
DOI
10.1021/acsami.0c07394
ISSN
1944-8244
1944-8252
Abstract
The long-term plasticity of biological synapses was successfully emulated in an artificial synapse fabricated by combining low-surface defect van der Waals (vdW) and self-assembled (SA) materials. The synaptic operation could be achieved by facilitating hole trapping and releasing only via the amine (NH2) functional groups in 3-aminopropyltriethoxysilane, which consequently induced a gradual conductance change in the WSe2 channel. The vdW-SA synaptic device exhibited extremely stable long-term potentiation/depression (LTP/LTD) characteristics; its dynamic range and nonlinearity reproduced near 100 and 3.13/-6.53 (for LTP/LTD) with relative standard deviations (RSDs) below 2%. Furthermore, after conducting training and recognition tasks for the Modified National Institute of Standard and Technology (MNIST) digit patterns, we verified that the maximum recognition rate was 78.3%, and especially, its RSD was as low as 0.32% over several training/recognition cycles. This study provides a background for future research on advanced artificial synapses based on vdW and organic materials.
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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