1986
DOI: 10.1063/1.449987
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Structure factors of polydisperse systems of hard spheres: A comparison of Monte Carlo simulations and Percus–Yevick theory

Abstract: We present Monte Carlo (MC) simulations of the structure factors of polydisperse hard-sphere fluids. The simulations were carried out for 108 particles and packing fractions up to φ=0.5. The size distribution of the particles was chosen randomly from a log-normal distribution. The MC results are compared with predictions obtained using Percus–Yevick approximation. It is found that for all but the highest densities and the highest polydispersities studied, the Percus–Yevick approximation provides a satisfactory… Show more

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Cited by 135 publications
(99 citation statements)
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“…At neutral pH, where the casein micelles are known to behave like hard spheres, we can quantitatively estimate the effect of S(0) using the corresponding polydisperse hard sphere model employing liquid state theory and the commonly used Percus-Yevick closure relation. 32, 33 Details about the calculation can be found in the Supporting Information (chapter A). The results of the calculations are values of S(0) = 0.52 for undiluted milk, and S(0) = 0.72 for a dilution factor of 2, in agreement with our measurements.…”
Section: Resultsmentioning
confidence: 99%
“…At neutral pH, where the casein micelles are known to behave like hard spheres, we can quantitatively estimate the effect of S(0) using the corresponding polydisperse hard sphere model employing liquid state theory and the commonly used Percus-Yevick closure relation. 32, 33 Details about the calculation can be found in the Supporting Information (chapter A). The results of the calculations are values of S(0) = 0.52 for undiluted milk, and S(0) = 0.72 for a dilution factor of 2, in agreement with our measurements.…”
Section: Resultsmentioning
confidence: 99%
“…1 and 11 show that the micelles are really quite different from monodisperse hard spheres. In fact, to address this last point, we performed simulations on a polydisperse hard-sphere model with a log-normal 47,48 distribution that corresponded to the distribution of micelle sizes. Surprisingly, such a polydisperse hard-sphere model gave worse agreement with the lattice simulations than the monodisperse model.…”
Section: F Composite Hard-sphere Modelmentioning
confidence: 99%
“…The structure factors were obtained by both direct Fourier transformation of the density-density correlation function [44] and by Fourier transformation of the pair correlation function [42]. The algorithms were tested on the Hard Sphere system and the Lennard Jones 12-6 system for which accurate values are available in literature [38,39,43].…”
Section: Studying Phase Behaviour In Computeromentioning
confidence: 99%