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Research Article

Electron scattering by Friedel oscillations in carbon nanotubes

Takumi Inaba1Takahiro Morimoto1( )Satoshi Yamazaki2Toshiya Okazaki1
CNT-Application Research Center National Institute of Advanced Industrial Science and TechnologyTsukuba 305-8565 Japan
Research Association of High-Throughput Design and Development for Advanced Functional MaterialsTsukuba 305-8565 Japan
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Abstract

Multi-walled carbon nanotube networks were confirmed to exhibit a linear decrease in resistivity with increasing temperature from 100 to above 400 K. The linearity was explained using a defect scattering model that involved Friedel oscillations (that is, electron- electron interactions). The applicability of this model, which was originally proposed for graphene, to carbon nanotubes was assessed based on a comparison of various experimental data. Increases in the slopes of the resistivity-temperature plots following the introduction of defects, as well as an effect of charge concentration on the slope were key predictions of this model. The results obtained from few-walled carbon nanotube networks are also shown. In the literature, linear resistivity-temperature plots were obtained from other graphene derivatives, indicating that the linearity originates from the hexagonal symmetry of these materials. The present work also indicated a relationship between the appearance of linearity and negative magnetoresistance above 100 K. Based on a mechanism incorporating scattering in association with Friedel oscillations and conventional electron conduction models, the universality of resistivity-temperature plots obtained from carbon nanotube networks is introduced.

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Nano Research
Pages 889-897

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Cite this article:
Inaba T, Morimoto T, Yamazaki S, et al. Electron scattering by Friedel oscillations in carbon nanotubes. Nano Research, 2022, 15(2): 889-897. https://doi.org/10.1007/s12274-021-3571-0
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Received: 13 January 2021
Revised: 23 April 2021
Accepted: 04 May 2021
Published: 25 June 2021
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021