Strain-controlled power devices as inspired by human reflex.

Journal: Nature communications
PMID:

Abstract

Bioinspired electronics are rapidly promoting advances in artificial intelligence. Emerging AI applications, e.g., autopilot and robotics, increasingly spur the development of power devices with new forms. Here, we present a strain-controlled power device that can directly modulate the output power responses to external strain at a rapid speed, as inspired by human reflex. By using the cantilever-structured AlGaN/AlN/GaN-based high electron mobility transistor, the device can control significant output power modulation (2.30-2.72 × 10 W cm) with weak mechanical stimuli (0-16 mN) at a gate bias of 1 V. We further demonstrate the acceleration-feedback-controlled power application, and prove that the output power can be effectively adjusted at real-time in response to acceleration changes, i.e., ▵P of 72.78-132.89 W cm at an acceleration of 1-5 G at a supply voltage of 15 V. Looking forward, the device will have great significance in a wide range of AI applications, including autopilot, robotics, and human-machine interfaces.

Authors

  • Shuo Zhang
    Ph.D. Program in Computer Science, The City University of New York, New York, NY, United States.
  • Bei Ma
    Graduate School of Electrical and Electronic Engineering, Chiba University, Chiba, 263-8522, Japan.
  • Xingyu Zhou
    Peking University Health Science Center, Beijing, China.
  • Qilin Hua
    CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, China. huaqilin@binn.cas.cn.
  • Jian Gong
    Estuarine and Coastal Environment Research Center, Chinese Research Academy of Environmental Sciences, Beijing, 100012, P. R. China.
  • Ting Liu
    School of Public Health, Shanxi Medical University, Taiyuan 030000, China.
  • Xiao Cui
    CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, China.
  • Jiyuan Zhu
    CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, China.
  • Wenbin Guo
    Department of Psychiatry of the Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center on Mental Disorders, Changsha, Hunan, China; National Technology Institute on Mental Disorders, Changsha, Hunan, China; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China. Electronic address: guowenbin76@163.com.
  • Liang Jing
    Faculty of Engineering and Applied Science, Memorial University, St. John's, NL A1B 3X5, Canada. Electronic address: liang.jing@mun.ca.
  • Weiguo Hu
    Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
  • Zhong Lin Wang
    Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing China.