Abstract

The residual multiparticle entropy (RMPE) of a fluid is defined as the difference, , between the excess entropy per particle (relative to an ideal gas with the same temperature and density), , and the pair-correlation contribution, . Thus, the RMPE represents the net contribution to due to spatial correlations involving three, four, or more particles. A heuristic “ordering” criterion identifies the vanishing of the RMPE as an underlying signature of an impending structural or thermodynamic transition of the system from a less ordered to a more spatially organized condition (freezing is a typical example). Regardless of this, the knowledge of the RMPE is important to assess the impact of non-pair multiparticle correlations on the entropy of the fluid. Recently, an accurate and simple proposal for the thermodynamic and structural properties of a hard-sphere fluid in fractional dimension has been proposed (Santos, A.; López de Haro, M. Phys. Rev. E 2016, 93, 062126). The aim of this work is to use this approach to evaluate the RMPE as a function of both d and the packing fraction . It is observed that, for any given dimensionality d, the RMPE takes negative values for small densities, reaches a negative minimum at a packing fraction , and then rapidly increases, becoming positive beyond a certain packing fraction . Interestingly, while both and monotonically decrease as dimensionality increases, the value of exhibits a nonmonotonic behavior, reaching an absolute minimum at a fractional dimensionality . A plot of the scaled RMPE shows a quasiuniversal behavior in the region .

Highlights

  • The properties of liquids are of great interest in many science and engineering areas

  • We have calculated the pair contribution and the cumulative contribution arising from correlations involving more than two particles to the excess entropy of hard spheres in fractional dimensions 1 < d < 3

  • We have resorted to the analytical approximations for the equation of state and radial distribution function of the fluid previously set up by Santos and López de Haro [6]

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Summary

Introduction

The properties of liquids are of great interest in many science and engineering areas. Many aggregation and growth processes can be described quite well by resorting to the concepts of fractal geometry. This is the case, for example, of liquids confined in porous media or of assemblies of small particles forming low-density clusters and networks [1,2,3,4]. Heinen et al [5] generalized this issue by introducing fractal particles in a fractal configuration space. In their framework, the particles composing the liquid are fractal as is the configuration space in which such objects move.

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