Nth-nearest neighbor statistics for analysis of particle distribution data derived from micrographs
作者： Jeremy W. Leggoe
DOI: 10.1016/J.SCRIPTAMAT.2005.07.041
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摘要: Abstract Mean distances to N th-nearest neighbors were computed for slices through three-dimensional equilibrium arrays of monodisperse spheres up 200. Inhibition effects significant even at low volume fractions. The results indicate that micrograph-derived particle distribution statistics should be compared slice rather than two-dimensional or point data.
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