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Research Article

Comprehensive analysis of two-dimensional charge transport mechanism in thin-film transistors based on random networks of single-wall carbon nanotubes using transient measurements

Hyeonwoo Shin1,§Sang-Joon Park2,§Byeong-Cheol Kang2Tae-Jun Ha2 ( )
Department of Electrical Engineering and Computer Science, Inter-university Semiconductor Research CenterSeoul National UniversitySeoul08826Korea
Department of Electronic Materials EngineeringKwangwoon UniversitySeoul01897Korea

§ Hyeonwoo Shin and Sang-Joon Park contributed equally to this work.

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Abstract

Understanding charge transport mechanisms in thin-film transistors based on random networks of single-wall carbon nanotubes (SWCNT-TFTs) is essential for further advances to improve the potential for various nanoelectronic applications. Herein, a comprehensive investigation of the two-dimensional (2D) charge transport mechanism in SWCNT-TFTs is reported by analyzing the temperature-dependent electrical characteristics determined from the direct-current and non-quasi-static transient measurements at 80-300 K. To elucidate the time-domain charge transport characteristics of the random networks in the SWCNTs, an empirical equation was derived from a theoretical trapping model, and a carrier velocity distribution was determined from the differentiation of the transient response. Furthermore, charge trapping and de-trapping in shallow- and deep-traps in SWCNT-TFTs were analyzed by investigating charge transport based on their trapping/de-trapping rate. The comprehensive analysis of this study provides fundamental insights into the 2D charge transport mechanism in TFTs based on random networks of nanomaterial channels.

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Nano Research
Pages 1524-1531

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Cite this article:
Shin H, Park S-J, Kang B-C, et al. Comprehensive analysis of two-dimensional charge transport mechanism in thin-film transistors based on random networks of single-wall carbon nanotubes using transient measurements. Nano Research, 2022, 15(2): 1524-1531. https://doi.org/10.1007/s12274-021-3697-0
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Received: 23 March 2021
Revised: 10 June 2021
Accepted: 17 June 2021
Published: 02 August 2021
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021