• 文献标题:   Understanding the Origin of Tensile Response in a Graphene Textile Strain Sensor with Negative Differential Resistance
  • 文献类型:   Article, Early Access
  • 作  者:   YANG QS, LIU N, YIN JJ, TIAN H, YANG Y, REN TL
  • 作者关键词:   graphene textile strain sensor, negative differential resistance ndr, tensile behavior model, neural spiking, threshold detection, nearsensor computing
  • 出版物名称:   ACS NANO
  • ISSN:   1936-0851 EI 1936-086X
  • 通讯作者地址:  
  • 被引频次:   4
  • DOI:   10.1021/acsnano.2c04348 EA SEP 2022
  • 出版年:   2022

▎ 摘  要

The flexible strain sensors based on the textile substrate have natural flexibility, high sensitivity, and wide range tensile response. However, the textile's complex and anisotropic substructure leads to a negative differential resistance (NDR) response, lacking a deeper understanding of the mechanism. Therefore, we examined a graphene textile strain sensor with a conspicuous NDR tensile response, providing a requisite research platform for mechanism investigation. The pioneering measurement of single fiber bundles confirmed the existence of the NDR effect on the subgeometry scale. Based on the in situ characterization of tensile morphology and measurement, we conducted quantitative behavior analyses to reveal the origin of tensile electrical responses in the full range comprehensively. The results showed that the dominant factor in generating the NDR effect is the relative displacement of fibers within the textile bundles. Based on the neural spiking-like tensile response, we further demonstrated the application potential of the textile strain sensor in threshold detection and near-sensor signal processing. The proposed NDR behavior model would provide a reference for the design and application of wearable intelligent textiles.