Reverse Monte Carlo procedure for cluster analysis in colloidal systems
作者： Anthony Shick , Raj Rajagopalan
DOI: 10.1016/0166-6622(92)80127-N
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摘要: Abstract We examine the applicability of reverse Monte Carlo (RMC) simulations for studying cluster size and bond angle distributions in dense colloidal dispersions. Forward are used to generate radial distribution functions a dispersion interacting through an attractive potential. These then reconstructing microstructural details using RMC simulations. find that method accurately reproduces structures statistically identical test system over range length scales. Both reproduced within statistical accuracy. The results demonstrate X-ray, neutron light scattering data on structure dispersions (under static or dynamic conditions) can be extracting information cannot obtained by direct means.
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