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Quantitative Analysis of Particle Distributions by Comparison with Simulations

Published online by Cambridge University Press:  19 November 2010

Sascha Vongehr
Affiliation:
National Laboratory of Solid State Microstructures, Department of Materials Science and Engineering, Nanjing University, Nanjing 210093, Jiangsu Province, P.R. China
Shaochun Tang
Affiliation:
National Laboratory of Solid State Microstructures, Department of Materials Science and Engineering, Nanjing University, Nanjing 210093, Jiangsu Province, P.R. China
Xiangkang Meng*
Affiliation:
National Laboratory of Solid State Microstructures, Department of Materials Science and Engineering, Nanjing University, Nanjing 210093, Jiangsu Province, P.R. China
*
Corresponding author. E-mail: [email protected]
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Abstract

In characterization of metal nanoparticle doped spherical composites, the two-dimensional nature of transmission electron microscopy (TEM) images leads to ambiguities about the true location of the nanoparticles. Walking-in of simulated projections in comparison with actual TEM images leads to quantitative results such as location-dependent particle sizes and particle number density. This method takes advantage of the strength of fuzzy neural network computations via the human hunter-gatherer's visual system's evolved superiority while still allowing quantitative results by use of exact numerical simulations.

Type
TEM and STEM Materials Applications
Copyright
Copyright © Microscopy Society of America 2011

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References

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