中国物理B ›› 2023, Vol. 32 ›› Issue (10): 107504-107504.doi: 10.1088/1674-1056/acb424

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Spin torque oscillator based on magnetic tunnel junction with MgO cap layer for radio-frequency-oriented neuromorphic computing

Huayao Tu(涂华垚)1,2, Yanxiang Luo(雒雁翔)1,2, Kexin Zeng(曾柯心)1,2,5, Yuxuan Wu(吴宇轩)1,2, Like Zhang(张黎可)3,†, Baoshun Zhang(张宝顺)2, and Zhongming Zeng(曾中明)1,2,4,‡   

  1. 1 School of Nano Technology and Nano Bionics, University of Science and Technology of China, Hefei 230026, China;
    2 Nanofabrication Facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China;
    3 School of Electronics and Information Engineering, Wuxi University, Wuxi 214105, China;
    4 Nanchang(SINANONC) Nano-Devices and Technologies Division, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Nanchang 330200, China;
    5 Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, China
  • 收稿日期:2022-11-01 修回日期:2023-01-12 接受日期:2023-01-18 出版日期:2023-09-21 发布日期:2023-09-27
  • 通讯作者: Like Zhang, Zhongming Zeng E-mail:lkzhang@cwxu.edu.cn;zmzeng2012@sinano.ac.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 11974379 and 12204357), K. C. Wong Education Foundation (Grant No. GJTD-2019-14), Jiangxi Province "Double Thousand Plan" (Grant No. S2019CQKJ2638), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No. 22KB140017), and Wuxi University Research Start-up Fund for Introduced Talents (Grant No. 2022r006).

Spin torque oscillator based on magnetic tunnel junction with MgO cap layer for radio-frequency-oriented neuromorphic computing

Huayao Tu(涂华垚)1,2, Yanxiang Luo(雒雁翔)1,2, Kexin Zeng(曾柯心)1,2,5, Yuxuan Wu(吴宇轩)1,2, Like Zhang(张黎可)3,†, Baoshun Zhang(张宝顺)2, and Zhongming Zeng(曾中明)1,2,4,‡   

  1. 1 School of Nano Technology and Nano Bionics, University of Science and Technology of China, Hefei 230026, China;
    2 Nanofabrication Facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China;
    3 School of Electronics and Information Engineering, Wuxi University, Wuxi 214105, China;
    4 Nanchang(SINANONC) Nano-Devices and Technologies Division, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Nanchang 330200, China;
    5 Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, China
  • Received:2022-11-01 Revised:2023-01-12 Accepted:2023-01-18 Online:2023-09-21 Published:2023-09-27
  • Contact: Like Zhang, Zhongming Zeng E-mail:lkzhang@cwxu.edu.cn;zmzeng2012@sinano.ac.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 11974379 and 12204357), K. C. Wong Education Foundation (Grant No. GJTD-2019-14), Jiangxi Province "Double Thousand Plan" (Grant No. S2019CQKJ2638), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No. 22KB140017), and Wuxi University Research Start-up Fund for Introduced Talents (Grant No. 2022r006).

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摘要： Recently, it has been proposed that spin torque oscillators (STOs) and spin torque diodes could be used as artificial neurons and synapses to directly process microwave signals, which could lower latency and power consumption greatly. However, one critical challenge is to make the microwave emission frequency of the STO stay constant with a varying input current. In this work, we study the microwave emission characteristics of STOs based on magnetic tunnel junction with MgO cap layer. By applying a small magnetic field, we realize the invariability of the microwave emission frequency of the STO, making it qualified to act as artificial neuron. Furthermore, we have simulated an artificial neural network using STO neuron to recognize the handwritten digits in the Mixed National Institute of Standards and Technology database, and obtained a high accuracy of 92.28%. Our work paves the way for the development of radio-frequency-oriented neuromorphic computing systems.

关键词: spin torque oscillators, artificial neuron, neuromorphic computing, magnetic tunnel junctions

Abstract: Recently, it has been proposed that spin torque oscillators (STOs) and spin torque diodes could be used as artificial neurons and synapses to directly process microwave signals, which could lower latency and power consumption greatly. However, one critical challenge is to make the microwave emission frequency of the STO stay constant with a varying input current. In this work, we study the microwave emission characteristics of STOs based on magnetic tunnel junction with MgO cap layer. By applying a small magnetic field, we realize the invariability of the microwave emission frequency of the STO, making it qualified to act as artificial neuron. Furthermore, we have simulated an artificial neural network using STO neuron to recognize the handwritten digits in the Mixed National Institute of Standards and Technology database, and obtained a high accuracy of 92.28%. Our work paves the way for the development of radio-frequency-oriented neuromorphic computing systems.

Key words: spin torque oscillators, artificial neuron, neuromorphic computing, magnetic tunnel junctions

中图分类号:  (Spin transport effects)

  • 75.76.+j
72.25.-b (Spin polarized transport) 85.75.-d (Magnetoelectronics; spintronics: devices exploiting spin polarized transport or integrated magnetic fields)