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Mechanical properties of carbon nanotubes with vacancies and related defects

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Sammalkorpi, M., Krasheninnikov, A., Kuronen, A., Nordlund, K., Kaski, K.·2004·Physical Review B

Abstract

Although as-grown carbon nanotubes have relatively few defects, defects can appear at the purification stage or be deliberately introduced by irradiation with energetic particles or by chemical treatment when aiming at the desired functionality. The defects, especially vacancies, give also rise to a deleterious effect---deterioration of axial mechanical properties of nanotubes. By employing molecular dynamics simulations and continuum theory we study how the Young's modulus and tensile strength of nanotubes with vacancy-related defects depend on the concentration of defects and defect characteristics. We derive an analytical expression, with coefficients parametrized from atomistic computer simulations, which relates the Young's modulus and defect density in carbon nanotubes. We further show that the tensile strength and critical strain of single-walled nanotubes decrease by nearly a factor of 2 if an unreconstructed vacancy is present. However, this deterioration in the mechanical characteristics is partly alleviated by the ability of nanotubes to heal vacancies in the atomic network by saturating dangling bonds.

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Metadata

Authors
Sammalkorpi, M., Krasheninnikov, A., Kuronen, A., Nordlund, K., & Kaski, K.
Venue
Physical Review B
Published
2004-12-14
Volume
70
Issue
24
ISSN
  • 1098-0121 (ISSN-L)
  • 1550-235X
OpenAlex
W2081999727
Cited by
404
References
1
FWCI
9.37
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mechanical properties of carbon nanotubes with vacancies and related defects. https://app.cochat.ai/papers/10.1103/physrevb.70.245416
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Sammalkorpi, M., Krasheninnikov, A., Kuronen, A., Nordlund, K., & Kaski, K. (2004). Mechanical properties of carbon nanotubes with vacancies and related defects. Physical Review B. https://doi.org/10.1103/physrevb.70.245416

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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