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Cited by 1,053

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Self-Assembled Hexa- peri -hexabenzocoronene Graphitic Nanotube

Hill, Jonathan P., Jin, Wusong, Kosaka, Atsuko, Fukushima, Takanori, Ichihara, Hideki, Shimomura, Takeshi, Ito, Kohzo, Hashizume, Tomihiro, Ishii, Noriyuki, Aida, Takuzo·2004·Science

Abstract

An amphiphilic hexa- peri -hexabenzocoronene self-assembles to form a π-electronic, discrete nanotubular object. The object is characterized by an aspect ratio greater than 1000 and has a uniform, 14-nanometer-wide, open-ended hollow space, which is an order of magnitude larger than those of carbon nanotubes. The wall is 3 nanometers thick and consists of helical arrays of the π-stacked graphene molecule, whose exterior and interior surfaces are covered by hydrophilic triethylene glycol chains. The graphitic nanotube is redox active, and a single piece of the nanotube across 180-nanometer-gap electrodes shows, upon oxidation, an electrical conductivity of 2.5 megohms at 285 kelvin. This family of molecularly engineered graphite with a one-dimensional tubular shape and a chemically accessible surface constitutes an important step toward molecular electronics.

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Metadata

Authors
Hill, J. P., Jin, W., Kosaka, A., Fukushima, T., Ichihara, H., Shimomura, T., Ito, K., Hashizume, T., Ishii, N., & Aida, T.
Venue
Science
Published
2004-06-04
Volume
304
Issue
5676
Pages
1481-1483
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2020099789
Cited by
1,053
References
0
FWCI
21.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Self-Assembled Hexa- peri -hexabenzocoronene Graphitic Nanotube. https://app.cochat.ai/papers/10.1126/science.1097789
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Hill, J. P., Jin, W., Kosaka, A., Fukushima, T., Ichihara, H., Shimomura, T., Ito, K., Hashizume, T., Ishii, N., & Aida, T. (2004). Self-Assembled Hexa- peri -hexabenzocoronene Graphitic Nanotube. Science. https://doi.org/10.1126/science.1097789

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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.