Large arrays and networks of carbon nanotubes : morphology control by process parameters

Levchenko, I., Han, Z.-J., Kumar, S., Yick, S., Fang, J., & Ostrikov, K. (2013) Large arrays and networks of carbon nanotubes : morphology control by process parameters. In Suzuki, Satori (Ed.) Syntheses and Applications of Carbon Nanotubes and their Composites. INTECH Open Access Publisher, pp. 19-38.

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Abstract

Large arrays and networks of carbon nanotubes, both single- and multi-walled, feature many superior properties which offer excellent opportunities for various modern applications ranging from nanoelectronics, supercapacitors, photovoltaic cells, energy storage and conversation devices, to gas- and biosensors, nanomechanical and biomedical devices etc. At present, arrays and networks of carbon nanotubes are mainly fabricated from the pre-fabricated separated nanotubes by solution-based techniques. However, the intrinsic structure of the nanotubes (mainly, the level of the structural defects) which are required for the best performance in the nanotube-based applications, are often damaged during the array/network fabrication by surfactants, chemicals, and sonication involved in the process. As a result, the performance of the functional devices may be significantly degraded. In contrast, directly synthesized nanotube arrays/networks can preclude the adverse effects of the solution-based process and largely preserve the excellent properties of the pristine nanotubes. Owing to its advantages of scale-up production and precise positioning of the grown nanotubes, catalytic and catalyst-free chemical vapor depositions (CVD), as well as plasma-enhanced chemical vapor deposition (PECVD) are the methods most promising for the direct synthesis of the nanotubes.

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ID Code: 74615
Item Type: Book Chapter
Additional URLs:
DOI: 10.5772/52674
ISBN: 9789535111252
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Levchenko et al.; licensee InTech.
Copyright Statement: This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits
unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Deposited On: 01 Aug 2014 01:17
Last Modified: 04 Aug 2014 03:29

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