Determination of the Diameter Distribution of Single-Wall Carbon Nanotubes from the Raman G-Band Using an Artificial Neural Network
Authors: Kukovecz A.; Smolik M.; Bokova S.; Kataura H.; Achiba Y.; Kuzmany H.
Source: Journal of Nanoscience and Nanotechnology, Volume 5, Number 2, February 2005 , pp. 204-208(5)
Publisher: American Scientific Publishers
Abstract:A novel, artificial neural network-based method is now available for obtaining the mean diameter of single wall carbon nanotube (SWCNT) samples from the diameter dispersive features of their Raman G-band. The method is demonstrated here for six different diameter SWCNT samples and 14 different excitation wavelengths. With an adequately large pool of standard nanotube samples, the suggested method is a useful complementary technique for SWCNT diameter analysis as it is capable of rapid diameter evaluation without prior knowledge of the relevant phonon dispersion relations.
Document Type: Research article
Publication date: 2005-02-01
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