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Self-Sorted, Aligned Nanotube Networks for Thin-Film Transistors

LeMieux, Melburne C., Roberts, Mark, Barman, Soumendra, Jin, Yong Wan, Kim, Jong Min, Bao, Zhenan·2008·Science

Abstract

To find use in electronics, single-walled carbon nanotubes need to be efficiently separated by electronic type and aligned to ensure optimal and reproducible electronic properties. We report the fabrication of single-walled carbon nanotube (SWNT) network field-effect transistors, deposited from solution, possessing controllable topology and an on/off ratio as high as 900,000. The spin-assisted alignment and density of the SWNTs are tuned by different surfaces that effectively vary the degree of interaction with surface functionalities in the device channel. This leads to a self-sorted SWNT network in which nanotube chirality separation and simultaneous control of density and alignment occur in one step during device fabrication. Micro-Raman experiments corroborate device results as a function of surface chemistry, indicating enrichment of the specific SWNT electronic type absorbed onto the modified dielectric.

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Metadata

Authors
LeMieux, M. C., Roberts, M., Barman, S., Jin, Y. W., Kim, J. M., & Bao, Z.
Venue
Science
Published
2008-07-04
Volume
321
Issue
5885
Pages
101-104
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2057952798
Cited by
605
References
0
FWCI
42.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Self-Sorted, Aligned Nanotube Networks for Thin-Film Transistors. https://app.cochat.ai/papers/10.1126/science.1156588
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LeMieux, M. C., Roberts, M., Barman, S., Jin, Y. W., Kim, J. M., & Bao, Z. (2008). Self-Sorted, Aligned Nanotube Networks for Thin-Film Transistors. Science. https://doi.org/10.1126/science.1156588

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.