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Self-healing actuatable electroluminescent fibres

Author

Listed:
  • Xuemei Fu

    (National University of Singapore
    National University of Singapore)

  • Guanxiang Wan

    (National University of Singapore
    National University of Singapore)

  • Hongchen Guo

    (National University of Singapore
    National University of Singapore)

  • Han-Joon Kim

    (National University of Singapore)

  • Zijie Yang

    (National University of Singapore
    National University of Singapore)

  • Yu Jun Tan

    (National University of Singapore)

  • John S. Ho

    (National University of Singapore
    National University of Singapore
    National University of Singapore)

  • Benjamin C. K. Tee

    (National University of Singapore
    National University of Singapore
    National University of Singapore
    National University of Singapore)

Abstract

Alternating-current electroluminescent fibres are promising candidates as light sources for smart textiles and soft machines. However, physical damage from daily use causes device deterioration or failure, making self-healable electroluminescent fibres attractive. In addition, soft robots could benefit from light-emitting combined with magnetically actuated functions. Here, we present a self-healing and actuatable Scalable Hydrogel-clad Ionotronic Nickel-core Electroluminescent (SHINE) fibre which achieves a record luminance of 1068 cd × m−2 at 5.7 V × μm−1. The SHINE fibre can self-heal across all constituent layers after being severed, recovering 98.6% of pristine luminance and maintaining for over 10 months. SHINE fibre is also magnetically actuatable due to the ferromagnetic nickel electrode core, enabling a soft robotic fibre with omnidirectional actuation and electro-luminescence. Our approach to this multifunctional fibre broadens the design of fibre electronics and fibre robots, with applications in interactive displays and damage-resilient navigation.

Suggested Citation

  • Xuemei Fu & Guanxiang Wan & Hongchen Guo & Han-Joon Kim & Zijie Yang & Yu Jun Tan & John S. Ho & Benjamin C. K. Tee, 2024. "Self-healing actuatable electroluminescent fibres," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53955-2
    DOI: 10.1038/s41467-024-53955-2
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    References listed on IDEAS

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    1. S. R. White & N. R. Sottos & P. H. Geubelle & J. S. Moore & M. R. Kessler & S. R. Sriram & E. N. Brown & S. Viswanathan, 2001. "Autonomic healing of polymer composites," Nature, Nature, vol. 409(6822), pages 794-797, February.
    2. Rongzhou Lin & Han-Joon Kim & Sippanat Achavananthadith & Ze Xiong & Jason K. W. Lee & Yong Lin Kong & John S. Ho, 2022. "Digitally-embroidered liquid metal electronic textiles for wearable wireless systems," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Xiang Shi & Yong Zuo & Peng Zhai & Jiahao Shen & Yangyiwei Yang & Zhen Gao & Meng Liao & Jingxia Wu & Jiawei Wang & Xiaojie Xu & Qi Tong & Bo Zhang & Bingjie Wang & Xuemei Sun & Lihua Zhang & Qibing P, 2021. "Large-area display textiles integrated with functional systems," Nature, Nature, vol. 591(7849), pages 240-245, March.
    4. Philippe Cordier & François Tournilhac & Corinne Soulié-Ziakovic & Ludwik Leibler, 2008. "Self-healing and thermoreversible rubber from supramolecular assembly," Nature, Nature, vol. 451(7181), pages 977-980, February.
    5. Xiao-Qiao Wang & Kwok Hoe Chan & Wanheng Lu & Tianpeng Ding & Serene Wen Ling Ng & Yin Cheng & Tongtao Li & Minghui Hong & Benjamin C. K. Tee & Ghim Wei Ho, 2022. "Macromolecule conformational shaping for extreme mechanical programming of polymorphic hydrogel fibers," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
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