Xue, F, He, X, Wang, Z, Retamal, JRD, Chai, Z, Lingling, J, Chenhui, Z, Fang, H, Chai, Y, Zhang, WD, Alshareef, H, Ji, Z, Li, L-J, He, J-H and Zhang, X (2021) Giant ferroelectric resistance switching controlled by a modulatory terminal for low-power neuromorphic in-memory computing. Advanced Materials, 33 (21). ISSN 0935-9648
|
Text
Advanced Materials - 2021 - Xue - Giant Ferroelectric Resistance Switching Controlled by a Modulatory Terminal for.pdf - Published Version Available under License Creative Commons Attribution. Download (6MB) | Preview |
Abstract
Ferroelectrics have been demonstrated as excellent building blocks for high-performance non-volatile memories, including memristors, which play critical roles in the hardware implementation of artificial synapses and in-memory computing. Here, we report that the emerging van der Waals ferroelectric α-In2Se3 can be used to successfully implement heterosynaptic plasticity (a fundamental but rarely emulated synaptic form) using a planar-six-terminal memristor architecture. Through pulse programming at a modulatory terminal, the resistance (or current) switching between two floating electrodes shows a ratio of >103, which is two orders of magnitude larger than that in other reported multiterminal memristors. The polarization change of the ferroelectric α-In2Se3 channel is responsible for the resistance switching at various paired terminals. Considering the device variation, the image recognition accuracy of the simulated neural network, AlexNet, can reach 98%. Moreover, these heterosynaptic devices can naturally realize non-volatile Boolean logic without an additional circuit component. Our results suggest that van der Waals ferroelectrics hold great potential for applications in complex brain-inspired computing systems and logic-in-memory computers.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | 02 Physical Sciences, 03 Chemical Sciences, 09 Engineering |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering |
Divisions: | Engineering |
Publisher: | Wiley |
Date Deposited: | 01 Mar 2021 11:31 |
Last Modified: | 07 Jan 2022 15:30 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/14537 |
View Item |