Implementation of Logic Function and Memristive Behavior in Synthetic Antiferromagnet with Strong Immunity to Perpendicular Magnetic Field Interference

Author:

Zhang Bo1,Zhang Yu1,Luo Keliu1,Guo Yonghai2,Yan Ze1,Lv Wenbo1,Wang Bo1,Li Zhide3,Hu Ziyang3,Wang Qi4,Cao Jiangwei1ORCID

Affiliation:

1. School of Physical Science and Technology Lanzhou University Lanzhou 730000 P. R. China

2. School of Science and Engineering The Chinese University of Hong Kong Shenzhen 518172 China

3. Shenzhen Yezhan Electronics Co., Ltd. Shenzhen 518000 P. R. China

4. Dongguan Institute of Optoelectronics Peking University Dongguan 523808 P. R. China

Abstract

Spintronic devices with heavy metal/ferromagnet structures have shown potential applications for in‐memory computing. However, the sensitivity of ferromagnet to external magnetic field raises a challenge for the practical applications of these devices. The usage of synthetic antiferromagnet (SAF) can effectively address this issue due to its good magnetic field immunity. This work demonstrates the implementation of all 16 types of Boolean logic functions via controlling the magnetization states of the SAF layer by using current pulses, and also the stable multistate storage under the interference of perpendicular magnetic field in these devices. The SAF devices also exhibit synaptic plasticity under the stimulation of current pulses. The artificial neural network constructed based on the SAF device can perform handwritten digit recognition tasks with an accuracy rate of 90%. These results showcase the viability and superiority of the SAF device in building logic‐in‐memory architecture for its strong immunity to magnetic field interference.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Gansu Province

Publisher

Wiley

Reference40 articles.

1. Deep learning

2. Leakage current: Moore's law meets static power

3. S.Khoram Y.Zha J.Zhang J.Li inProc. of the 2017 ACM on Inter. Symp. on Physical Design ACM Portland Oregon USA2017 pp.43–46.

4. Performance Characterization and Majority Gate Design for MESO-Based Circuits

5. Face classification using electronic synapses

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