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Giant ferroelectric resistance switching controlled by a modulatory terminal for low‐power neuromorphic in‐memory computing

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journal contribution
posted on 2021-04-26, 14:54 authored by Fei Xue, Xin He, Zhenyu Wang, José Ramón Durán Retamal, Zheng Chai, Linglin Jing, Chenhui Zhang, Hui FangHui Fang, Yang Chai, Tao Jiang, Weidong Zhang, Husam N. Alshareef, Zhigang Ji, Lain-Jong Li, Jr-Hau He, Xixiang Zhang
Ferroelectrics have been demonstrated as excellent building blocks for high‐performance nonvolatile memories, including memristors, which play critical roles in the hardware implementation of artificial synapses and in‐memory computing. Here, it is reported that the emerging van der Waals ferroelectric α‐In2Se3 can be used to successfully implement heterosynaptic plasticity (a fundamental but rarely emulated synaptic form) and achieve a resistance‐switching ratio of heterosynaptic memristors above 103, which is two orders of magnitude larger than that in other similar devices. The polarization change of ferroelectric α‐In2Se3 channel is responsible for the resistance switching at various paired terminals. The third terminal of α‐In2Se3 memristors exhibits nonvolatile control over channel current at a picoampere level, endowing the devices with picojoule read‐energy consumption to emulate the associative heterosynaptic learning. The simulation proves that both supervised and unsupervised learning manners can be implemented in α‐In2Se3 neutral networks with high image recognition accuracy. Moreover, these heterosynaptic devices can naturally realize Boolean logic without an additional circuit component. The results suggest that van der Waals ferroelectrics hold great potential for applications in complex, energy‐efficient, brain‐inspired computing systems and logic‐in‐memory computers.

Funding

King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: CRF-2015- 2634-CRG4 and CRF-2016- 2996 -CRG5

Research Grant Council of Hong Kong (152053/18E)

City University of Hong Kong

History

School

  • Science

Department

  • Computer Science

Published in

Advanced Materials

Volume

33

Issue

21

Publisher

Wiley

Version

  • AM (Accepted Manuscript)

Rights holder

© Wiley

Publisher statement

This is the peer reviewed version of the following article: XUE, F. ... et al, 2021. Giant ferroelectric resistance switching controlled by a modulatory terminal for low‐power neuromorphic in‐memory computing. Advanced Materials, 33 (21), 2008709, which has been published in final form at https://doi.org/10.1002/adma.202008709. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

Acceptance date

2021-03-04

Publication date

2021-04-15

Copyright date

2021

ISSN

0935-9648

eISSN

1521-4095

Language

  • en

Depositor

Dr Hui Fang. Deposit date: 24 March 2021

Article number

2008709

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