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Single walled carbon nanotube-based stochastic resonance device with molecular self-noise source

机译:具有分子自噪声源的单壁碳纳米管随机共振装置

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摘要

Stochastic resonance (SR) is an intrinsic noise usage system for small-signal sensing found in various living creatures. The noise-enhanced signal transmission and detection system, which is probabilistic but consumes low power, has not been used in modern electronics. We demonstrated SR in a summing network based on a single-walled carbon nanotube (SWNT) device that detects small subthreshold signals with very low current flow. The nonlinear current-voltage characteristics of this SWNT device, which incorporated Cr electrodes, were used as the threshold level of signal detection. The adsorption of redox-active polyoxometalate molecules on SWNTs generated additional noise, which was utilized as a self-noise source. To form a summing network SR device, a large number of SWNTs were aligned parallel to each other between the electrodes, which increased the signal detection ability. The functional capabilities of the present small-size summing network SR device, which rely on dense nanomaterials and exploit intrinsic spontaneous noise at room temperature, offer a glimpse of future bio-inspired electronic devices.
机译:随机共振(SR)是一种固有的噪声使用系统,用于各种生物中的小信号感测。概率增加但功耗低的噪声增强型信号传输和检测系统尚未在现代电子产品中使用。我们在基于单壁碳纳米管(SWNT)装置的求和网络中演示了SR,该装置可检测具有非常低电流的小的亚阈值信号。装有Cr电极的该SWNT器件的非线性电流-电压特性用作信号检测的阈值水平。氧化还原活性多金属氧酸盐分子在单壁碳纳米管上的吸附产生额外的噪声,该噪声被用作自噪声源。为了形成求和网络SR设备,大量SWNT在电极之间彼此平行排列,这增加了信号检测能力。依靠致密的纳米材料并在室温下利用内在的自发噪声的当前小型求和网络SR设备的功能能力为未来的生物启发型电子设备提供了一瞥。

著录项

  • 来源
    《Applied Physics Letters》 |2017年第13期|133501.1-133501.5|共5页
  • 作者单位

    Department of Precision Science and Technology, Graduate School of Engineering, Osaka University, Suita, Japan;

    Department of Precision Science and Technology, Graduate School of Engineering, Osaka University, Suita, Japan;

    Department of Precision Science and Technology, Graduate School of Engineering, Osaka University, Suita, Japan;

    Department of Precision Science and Technology, Graduate School of Engineering, Osaka University, Suita, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-18 03:14:17

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