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Vascular smooth muscle-inspired architecture enables soft yet tough self-healing materials for durable capacitive strain-sensor

Author

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  • FuYao Sun

    (Nanjing University of Science and Technology
    Nanjing Forestry University)

  • LongFei Liu

    (Nanjing University of Science and Technology)

  • Tong Liu

    (Nanjing University of Science and Technology
    Nanjing Institute of Technology)

  • XueBin Wang

    (Nanjing University of Science and Technology
    Nanjing University)

  • Qi Qi

    (Nanjing University of Science and Technology)

  • ZuSheng Hang

    (Nanjing Institute of Technology)

  • Kai Chen

    (Nanjing University of Science and Technology)

  • JianHua Xu

    (Nanjing University of Science and Technology
    Nanjing Forestry University
    Nanjing University)

  • JiaJun Fu

    (Nanjing University of Science and Technology
    Nanjing University)

Abstract

Catastrophically mechanical failure of soft self-healing materials is unavoidable due to their inherently poor resistance to crack propagation. Here, with a model system, i.e., soft self-healing polyurea, we present a biomimetic strategy of surpassing trade-off between soft self-healing and high fracture toughness, enabling the conversion of soft and weak into soft yet tough self-healing material. Such an achievement is inspired by vascular smooth muscles, where core-shell structured Galinstan micro-droplets are introduced through molecularly interfacial metal-coordinated assembly, resulting in an increased crack-resistant strain and fracture toughness of 12.2 and 34.9 times without sacrificing softness. The obtained fracture toughness is up to 111.16 ± 8.76 kJ/m2, even higher than that of Al and Zn alloys. Moreover, the resultant composite delivers fast self-healing kinetics (1 min) upon local near-infrared irradiation, and possesses ultra-high dielectric constants (~14.57), thus being able to be fabricated into sensitive and self-healing capacitive strain-sensors tolerant towards cracks potentially evolved in service.

Suggested Citation

  • FuYao Sun & LongFei Liu & Tong Liu & XueBin Wang & Qi Qi & ZuSheng Hang & Kai Chen & JianHua Xu & JiaJun Fu, 2023. "Vascular smooth muscle-inspired architecture enables soft yet tough self-healing materials for durable capacitive strain-sensor," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-35810-y
    DOI: 10.1038/s41467-023-35810-y
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    References listed on IDEAS

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    Cited by:

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    2. Haitao Yang & Shuo Ding & Jiahao Wang & Shuo Sun & Ruphan Swaminathan & Serene Wen Ling Ng & Xinglong Pan & Ghim Wei Ho, 2024. "Computational design of ultra-robust strain sensors for soft robot perception and autonomy," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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