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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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 (, 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: 19 Apr 2017 02:43

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