The statistical mechanics of phase transitions in dense systems of polydisperse particles presents distinctive challenges to computer simulation and analytical theory alike. The core difficulty, namely, dealing correctly with particle size fractionation between coexisting phases, is set out in the context of a critique of previous simulation work on such systems. Specialized Monte Carlo simulation techniques and moment free energy method calculations, capable of treating fractionation exactly, are then described and deployed to study the fluid–solid transition of an assembly of repulsive spherical particles described by a top-hat “parent” distribution of particle sizes. The cloud curve delineating the solid–fluid coexistence region is mapped as a function of the degree of polydispersity δ, and the properties of the incipient “shadow” phases are presented. The coexistence region is found to shift to higher densities as δ increases, but does not exhibit the sharp narrowing predicted by many theories and some simulations.
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14 December 2010
Research Article|
December 09 2010
Phase behavior of polydisperse spheres: Simulation strategies and an application to the freezing transition
Nigel B. Wilding;
Nigel B. Wilding
a)
1Department of Physics,
University of Bath
, Bath BA2 7AY, United Kingdom
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Peter Sollich
Peter Sollich
2Department of Mathematics,
King’s College London
, Strand, London WC2R 2LS, United Kingdom
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a)
Author to whom correspondence should be addressed. Electronic mail: n.b.wilding@bath.ac.uk.
J. Chem. Phys. 133, 224102 (2010)
Article history
Received:
August 18 2010
Accepted:
October 13 2010
Citation
Nigel B. Wilding, Peter Sollich; Phase behavior of polydisperse spheres: Simulation strategies and an application to the freezing transition. J. Chem. Phys. 14 December 2010; 133 (22): 224102. https://doi.org/10.1063/1.3510534
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