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Artificial Synapse Based on van der Waals Heterostructures with Tunable Synaptic Functions for Neuromorphic Computing

Authors :
He, Congli
Tang, Jian
Shang, Da-Shan
Tang, Jianshi
Xi, Yue
Wang, Shuopei
Li, Na
Zhang, Qingtian
Lu, Ji-Kai
Wei, Zheng
Wang, Qinqin
Shen, Cheng
Li, Jiawei
Shen, Shipeng
Shen, Jianxin
Yang, Rong
Shi, Dongxia
Wu, Huaqiang
Wang, Shouguo
Zhang, Guangyu
Source :
ACS Applied Materials & Interfaces; March 2020, Vol. 12 Issue: 10 p11945-11954, 10p
Publication Year :
2020

Abstract

Two-dimensional (2D) materials and van der Waals heterostructures have attracted tremendous attention because of their appealing electronic, mechanical, and optoelectronic properties, which offer the possibility to extend the range of functionalities for diverse potential applications. Here, we fabricate a novel multiterminal device with dual-gate based on 2D material van der Waals heterostructures. Such a multiterminal device exhibited excellent nonvolatile multilevel resistance switching performance controlled by the source–drain voltage and back-gate voltage. Based on these features, heterosynaptic plasticity, in which the synaptic weight can be tuned by another modulatory interneuron, has been mimicked. A tunable analogue weight update (both on/off ratio and update nonlinearity) of synapse with high speed (50 ns) and low energy (∼7.3 fJ) programming has been achieved. These results demonstrate the great potential of the artificial synapse based on van der Waals heterostructures for neuromorphic computing.

Details

Language :
English
ISSN :
19448244
Volume :
12
Issue :
10
Database :
Supplemental Index
Journal :
ACS Applied Materials & Interfaces
Publication Type :
Periodical
Accession number :
ejs52402509
Full Text :
https://doi.org/10.1021/acsami.9b21747