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Quantitative Morphology of Aluminum Silicate Nanoaggregates

Published online by Cambridge University Press:  11 February 2011

Giovanni F Crosta
Affiliation:
Dept. of Environmental Sciences, Università degli Studi Milano - Bicocca, 1, Piazza della Scienza, I 20126 MILAN, Italy; contact: crosta@galileo.eng.uml.edu Center for Advanced Materials, University of Massachusetts - Lowell, LOWELL, MA
Changmo Sung
Affiliation:
Center for Advanced Materials, University of Massachusetts - Lowell, LOWELL, MA
Bongwoo Kang
Affiliation:
Center for Advanced Materials, University of Massachusetts - Lowell, LOWELL, MA
Carolina Ospina
Affiliation:
Center for Advanced Materials, University of Massachusetts - Lowell, LOWELL, MA
Peter J Stenhouse
Affiliation:
US Army Natick Soldier Center, NATICK, MA.
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Abstract

Aluminum silicate nanoaggregates grown on organic multilayer templates were imaged by a transmission electron microscope. Images were processed by fractal and FOURIER analysis. The estimated mass fractal dimension suggested that aggregate formation was diffusion limited. Nonlinear filtering of FOURIER spectra, which included comparison with a model spectral density, yielded «enhanced power spectra». Some morphological descriptors were extracted from the latter. The main result, materials classification, was attained by a two-scale procedure. Some descriptors were related to the material properties such as nanoparticle size distribution and sharpness of aggregate boundaries.

Type
Research Article
Copyright
Copyright © Materials Research Society 2003

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References

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