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Voltage-driven gigahertz frequency tuning of spin Hall nano-oscillators

Author

Listed:
  • Jong-Guk Choi

    (KAIST)

  • Jaehyeon Park

    (KAIST)

  • Min-Gu Kang

    (KAIST)

  • Doyoon Kim

    (Korea University)

  • Jae-Sung Rieh

    (Korea University)

  • Kyung-Jin Lee

    (KAIST)

  • Kab-Jin Kim

    (KAIST)

  • Byong-Guk Park

    (KAIST)

Abstract

Spin Hall nano-oscillators (SHNOs) exploiting current-driven magnetization auto-oscillation have recently received much attention because of their potential for neuromorphic computing. Widespread applications of neuromorphic devices with SHNOs require an energy-efficient method of tuning oscillation frequency over broad ranges and storing trained frequencies in SHNOs without the need for additional memory circuitry. While the voltage-driven frequency tuning of SHNOs has been demonstrated, it was volatile and limited to megahertz ranges. Here, we show that the frequency of SHNOs is controlled up to 2.1 GHz by an electric field of 1.25 MV/cm. The large frequency tuning is attributed to the voltage-controlled magnetic anisotropy (VCMA) in a perpendicularly magnetized Ta/Pt/[Co/Ni]n/Co/AlOx structure. Moreover, the non-volatile VCMA effect enables cumulative control of the frequency using repetitive voltage pulses which mimic the potentiation and depression functions of biological synapses. Our results suggest that the voltage-driven frequency tuning of SHNOs facilitates the development of energy-efficient neuromorphic devices.

Suggested Citation

  • Jong-Guk Choi & Jaehyeon Park & Min-Gu Kang & Doyoon Kim & Jae-Sung Rieh & Kyung-Jin Lee & Kab-Jin Kim & Byong-Guk Park, 2022. "Voltage-driven gigahertz frequency tuning of spin Hall nano-oscillators," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31493-z
    DOI: 10.1038/s41467-022-31493-z
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    1. H. Ohno & D. Chiba & F. Matsukura & T. Omiya & E. Abe & T. Dietl & Y. Ohno & K. Ohtani, 2000. "Electric-field control of ferromagnetism," Nature, Nature, vol. 408(6815), pages 944-946, December.
    2. Himanshu Fulara & Mohammad Zahedinejad & Roman Khymyn & Mykola Dvornik & Shunsuke Fukami & Shun Kanai & Hideo Ohno & Johan Åkerman, 2020. "Giant voltage-controlled modulation of spin Hall nano-oscillator damping," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    3. Miguel Romera & Philippe Talatchian & Sumito Tsunegi & Flavio Abreu Araujo & Vincent Cros & Paolo Bortolotti & Juan Trastoy & Kay Yakushiji & Akio Fukushima & Hitoshi Kubota & Shinji Yuasa & Maxence E, 2018. "Vowel recognition with four coupled spin-torque nano-oscillators," Nature, Nature, vol. 563(7730), pages 230-234, November.
    4. Zheng Duan & Andrew Smith & Liu Yang & Brian Youngblood & Jürgen Lindner & Vladislav E. Demidov & Sergej O. Demokritov & Ilya N. Krivorotov, 2014. "Nanowire spin torque oscillator driven by spin orbit torques," Nature Communications, Nature, vol. 5(1), pages 1-7, December.
    5. Jacob Torrejon & Mathieu Riou & Flavio Abreu Araujo & Sumito Tsunegi & Guru Khalsa & Damien Querlioz & Paolo Bortolotti & Vincent Cros & Kay Yakushiji & Akio Fukushima & Hitoshi Kubota & Shinji Yuasa , 2017. "Neuromorphic computing with nanoscale spintronic oscillators," Nature, Nature, vol. 547(7664), pages 428-431, July.
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