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The entropy multiparticle-correlation expansion for a mixture of spherical and elongated particles

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 Added by Santi Prestipino
 Publication date 2004
  fields Physics
and research's language is English




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We derive the multiparticle-correlation expansion of the excess entropy of classical particles in the canonical ensemble using a new approach that elucidates the rationale behind each term in the expansion. This formula provides the theoretical framework for an entropy-based ordering criterion that has been already tested for a variety of model fluids and thermodynamic phenomena. In view of future investigations of the phase diagram of colloidal mixtures, we detail in this paper the case of a two-component system of spherical and rod-like particles and discuss the symmetries underlying both the self and distinct pair-distribution functions under various geometrical constraints.



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We investigate the structure of a dilute mixture of amphiphilic dimers and spherical particles, a model relevant to the problem of encapsulating globular guest molecules in a dispersion. Dimers and spheres are taken to be hard particles, with an additional attraction between spheres and the smaller monomers in a dimer. Using Monte Carlo simulation, we document the low-temperature formation of aggregates of guests (clusters) held together by dimers, whose typical size and shape depend on the guest concentration $chi$. For low $chi$ (less than $10%$), most guests are isolated and coated with a layer of dimers. As $chi$ progressively increases, clusters grow in size becoming more and more elongated and polydisperse; after reaching a shallow maximum for $chiapprox 50%$, the size of clusters again reduces upon increasing $chi$ further. In one case only ($chi=50%$ and moderately low temperature) the mixture relaxed to a fluid of lamellae, suggesting that in this case clusters are metastable with respect to crystal-vapor separation. On heating, clusters shrink until eventually the system becomes homogeneous on all scales. On the other hand, as the mixture is made denser and denser at low temperature, clusters get increasingly larger until a percolating network is formed.
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