English

Chemical potential of a test hard sphere of variable size in a hard-sphere fluid

Soft Condensed Matter 2016-12-08 v2 Statistical Mechanics Chemical Physics

Abstract

The Lab\'ik and Smith Monte Carlo simulation technique to implement the Widom particle insertion method is applied using Molecular Dynamics (MD) instead to calculate numerically the insertion probability, P0(η,σ0)P_0(\eta,\sigma_0), of tracer hard-sphere (HS) particles of different diameters, σ0\sigma_0, in a host HS fluid of diameter σ\sigma and packing fraction, η\eta, up to 0.50.5. It is shown analytically that the only polynomial representation of lnP0(η,σ0)-\ln P_0(\eta,\sigma_0) consistent with the limits σ00\sigma_0\to 0 and σ0\sigma_0\to\infty has necessarily a cubic form, c0(η)+c1(η)σ0/σ+c2(η)(σ0/σ)2+c3(η)(σ0/σ)3c_0(\eta)+c_1(\eta)\sigma_0/\sigma+c_2(\eta)(\sigma_0/\sigma)^2+c_3(\eta)(\sigma_0/\sigma)^3. Our MD data for lnP0(η,σ0)-\ln P_0(\eta,\sigma_0) are fitted to such a cubic polynomial and the functions c0(η)c_0(\eta) and c1(η)c_1(\eta) are found to be statistically indistinguishable from their exact solution forms. Similarly, c2(η)c_2(\eta) and c3(η)c_3(\eta) agree very well with the Boubl\'ik-Mansoori-Carnahan-Starling-Leland and Boubl\'ik-Carnahan-Starling-Kolafa formulas. The cubic polynomial is extrapolated (high density) or interpolated (low density) to obtain the chemical potential of the host fluid, or σ0σ\sigma_{0}\to\sigma, as βμex=c0+c1+c2+c3\beta\mu^{\text{ex}}=c_0+c_1+c_2+c_3. Excellent agreement between the Carnahan-Starling and Carnahan-Starling-Kolafa theories with our MD data is evident.

Keywords

Cite

@article{arxiv.1609.06905,
  title  = {Chemical potential of a test hard sphere of variable size in a hard-sphere fluid},
  author = {David M. Heyes and Andrés Santos},
  journal= {arXiv preprint arXiv:1609.06905},
  year   = {2016}
}

Comments

9 pages, 4 figures; v2: minor changes