Determination of the diameter distribution of single-wall carbon nanotubes from the Raman G-band using an artificial neural network.

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… (More)

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@article{Kukovecz2005DeterminationOT, title={Determination of the diameter distribution of single-wall carbon nanotubes from the Raman G-band using an artificial neural network.}, author={{\'A}kos Kukovecz and Marek Smolik and Sofia N Bokova and Hiromichi Kataura and Yohji Achiba and Hans Kuzmany}, journal={Journal of nanoscience and nanotechnology}, year={2005}, volume={5 2}, pages={204-8} }