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Zhang, G., Mann, D., Zhang, L., Javey, A., Li, Y., Yenilmez, E., Wang, Q., McVittie, J.P., Nishi, Y., Gibbons, J. and Dai, H. (2005) Ultra-High-Yield Growth of Vertical Single-Walled Carbon Nanotubes: Hidden Roles of Hydrogen and Oxygen. PNAS, 102, 16141-16145.
http://dx.doi.org/10.1073/pnas.0507064102

has been cited by the following article:

• TITLE: Microwave Plasma Enhanced Chemical Vapor Deposition of Carbon Nanotubes

  AUTHORS: Ivaylo Hinkov, Samir Farhat, Cristian P. Lungu, Alix Gicquel, François Silva, Amine Mesbahi, Ovidiu Brinza, Cornel Porosnicu, Alexandru Anghel

  KEYWORDS: Nanotubes, Growth, CVD, Modeling, Kinetics

  JOURNAL NAME: Journal of Surface Engineered Materials and Advanced Technology, Vol.4 No.4, June 20, 2014

  ABSTRACT: Multi-walled carbon nanotubes (MWCNTs) were grown by plasma-enhanced chemical vapor deposition (PECVD) in a bell jar reactor. A mixture of methane and hydrogen (CH4/H2) was decomposed over Ni catalyst previously deposited on Si-wafer by thermionic vacuum arc (TVA) technology. The growth parameters were optimized to obtain dense arrays of nanotubes and were found to be: hydrogen flow rate of 90 sccm; methane flow rate of 10 sccm; oxygen flow rate of 1 sccm; substrate temperature of 1123 K; total pressure of 10 mbar and microwave power of 342 Watt. Results are summarized and significant main factors and their interactions were identified. In addition a computational study of nanotubes growth rate was conducted using a gas phase reaction mechanism and surface nanotube formation model. Simulations were performed to determine the gas phase fields for temperature and species concentration as well as the surface-species coverage and carbon nanotubes growth rate. A kinetic mechanism which consists of 13 gas species, 43 gas reactions and 17 surface reactions has been used in the commercial computational fluid dynamics (CFD) software ANSYS Fluent. A comparison of simulated and experimental growth rate is presented in this paper. Simulation results agreed favorably with experimental data.