Strain-controlled power devices as inspired by human reflex

Shuo Zhang, Bei Ma, Xingyu Zhou, Qilin Hua (), Jian Gong, Ting Liu, Xiao Cui, Jiyuan Zhu, Wenbin Guo, Liang Jing, Weiguo Hu () and Zhong Lin Wang ()
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Shuo Zhang: Chinese Academy of Sciences
Bei Ma: Chiba University
Xingyu Zhou: Chinese Academy of Sciences
Qilin Hua: Chinese Academy of Sciences
Jian Gong: Chinese Research Academy of Environmental Sciences
Ting Liu: Chinese Academy of Sciences
Xiao Cui: Chinese Academy of Sciences
Jiyuan Zhu: Chinese Academy of Sciences
Wenbin Guo: Chinese Academy of Sciences
Liang Jing: Chinese Academy of Sciences
Weiguo Hu: Chinese Academy of Sciences
Zhong Lin Wang: Chinese Academy of Sciences

Nature Communications, 2020, vol. 11, issue 1, 1-9

Abstract: 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 × 103 W cm−2) 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−2 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.

Date: 2020
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DOI: 10.1038/s41467-019-14234-7

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