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Artificial synaptic device and neural network based on the FeGa/PMN-PT/FeGa memtranstor.

Authors :
Shen, Jian-Xin
Li, Hang
Wang, Wen-Hong
Wang, Shou-Guo
Sun, Young
Source :
Applied Physics Letters. 11/8/2021, Vol. 199 Issue 19, p1-5. 5p.
Publication Year :
2021

Abstract

The memtranstors employing the magnetoelectric effects have the great potential to develop artificial synaptic devices. We have fabricated a memtranstor made of the FeGa/PMN-PT/FeGa multiferroic heterostructure and used it to mimic the functions of synapses. The magnetoelectric voltage of the device can be continuously tuned by applying a train of electric-field pulses. Consequently, synaptic plasticity, including the long-term potentiation, long-term depression, and spiking-time-dependent plasticity, has been demonstrated in the memtranstor at room temperature. Simulations on a neural network made of an array of the memtranstors reveal the capability of pattern learning with a high accuracy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00036951
Volume :
199
Issue :
19
Database :
Academic Search Index
Journal :
Applied Physics Letters
Publication Type :
Academic Journal
Accession number :
153549974
Full Text :
https://doi.org/10.1063/5.0069385