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Strength of carbon nanotubes depends on their chemical structures

Author

Listed:
  • Akira Takakura

    (Nagoya University
    Nagoya University
    Kyoto University)

  • Ko Beppu

    (Aichi Institute of Technology)

  • Taishi Nishihara

    (Nagoya University
    Nagoya University
    Kyoto University)

  • Akihito Fukui

    (Aichi Institute of Technology)

  • Takahiro Kozeki

    (University of Hyogo)

  • Takahiro Namazu

    (Aichi Institute of Technology)

  • Yuhei Miyauchi

    (Nagoya University
    Nagoya University
    Kyoto University)

  • Kenichiro Itami

    (Nagoya University
    Nagoya University
    Nagoya University)

Abstract

Single-walled carbon nanotubes theoretically possess ultimate intrinsic tensile strengths in the 100–200 GPa range, among the highest in existing materials. However, all of the experimentally reported values are considerably lower and exhibit a considerable degree of scatter, with the lack of structural information inhibiting constraints on their associated mechanisms. Here, we report the first experimental measurements of the ultimate tensile strengths of individual structure-defined, single-walled carbon nanotubes. The strength depends on the chiral structure of the nanotube, with small-diameter, near-armchair nanotubes exhibiting the highest tensile strengths. This observed structural dependence is comprehensively understood via the intrinsic structure-dependent inter-atomic stress, with its concentration at structural defects inevitably existing in real nanotubes. These findings highlight the target nanotube structures that should be synthesized when attempting to fabricate the strongest materials.

Suggested Citation

  • Akira Takakura & Ko Beppu & Taishi Nishihara & Akihito Fukui & Takahiro Kozeki & Takahiro Namazu & Yuhei Miyauchi & Kenichiro Itami, 2019. "Strength of carbon nanotubes depends on their chemical structures," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10959-7
    DOI: 10.1038/s41467-019-10959-7
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    Cited by:

    1. Daniel Hedman & Ben McLean & Christophe Bichara & Shigeo Maruyama & J. Andreas Larsson & Feng Ding, 2024. "Dynamics of growing carbon nanotube interfaces probed by machine learning-enabled molecular simulations," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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