Abstract

Recently, three-terminal synaptic devices have attracted considerable attention owing to their nondestructive weight-update behavior, which is attributed to the completely separated terminals for reading and writing. However, the structural limitations of these devices, such as a low array density and complex line design, are predicted to result in low processing speeds and high energy consumption of the entire system. Here, we propose a vertical three-terminal synapse featuring a remote weight update via ion gel, which is also extendable to a crossbar array structure. This synaptic device exhibits excellent synaptic characteristics, which are achieved via precise control of ion penetration onto the vertical channel through the weight-control terminal. Especially, the applicability of the developed vertical organic synapse array to neuromorphic computing is demonstrated using a simple crossbar synapse array. The proposed synaptic device technology is expected to be an important steppingstone to the development of high-performance and high-density neural networks.

Though three-terminal organic synapses are attractive for artificial neural networks due their weight controllable property, their structural limitations hinder performance. Here, the authors report a crossbar synapse array featuring vertical organic synapses with remote weight update capability.

Details

Title
Vertical organic synapse expandable to 3D crossbar array
Author
Choi Yongsuk 1 ; Oh Seyong 2 ; Qian Chuan 1   VIAFID ORCID Logo  ; Jin-Hong, Park 3   VIAFID ORCID Logo  ; Cho, Jeong Ho 1 

 Yonsei University, Department of Chemical and Biomolecular Engineering, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454) 
 Sungkyunkwan University, Department of Electrical and Computer Engineering, Suwon, Republic of Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X) 
 Sungkyunkwan University, Department of Electrical and Computer Engineering, Suwon, Republic of Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X); Sungkyunkwan University, SKKU Advanced Institute of Nanotechnology (SAINT), Suwon, Republic of Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2442448450
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.