chapter 4 section 4.7



THE INFINITE PRESSURE LIMIT

  The existence of the terminal polydispersity suggests the possibility of constructing a continuous path from the solid to fluid without going through a first order phase transition. We do not expect such a process to be realizable in general, and in this section we show that it is indeed not possible in the context of our system. The explanation lies in the infinite pressure limiting behavior of the model in the isobaric semigrand ensemble.
Consider the partition function of eqn. 4.21

In the limit of the volume and hence the length L will go to zero. The quadratic term in L in the exponent vanishes in this limit, whereas the and the terms remain finite. This is equivalent to the observation that the chemical potential difference function is becoming a straight line. If we define a new, always finite, parameter and introduce defined above, the limiting partition function can be written as

We can conduct simulations in the infinite pressure limit by using the integral over x as the 'weighting function' and imposing the reduced pressure . This limiting state is governed by two length scales, namely and . The pressure drives the diameters to smaller values whereas drives them to large ones ( is equal to the now-constant slope of as is shown in figure 4.5d). The ratio of these two lengths, as expressed via , represents the balance between the two forces.

 

Table: Polydispersities, densities and volume fractions of the solid fluid equilibrium at . The subscript numbers indicate the error in the last digit(s).


The reduced coexistence pressure can be obtained from extrapolation of to =0 as suggested by figure 4.1. The equilibrium densities and volume fractions of the solid-fluid coexistence in the limit are displayed as open circles in figure 4.4 and 4.3 respectively and are given in table 4.1. Because these equilibrium points are at infinite pressure, these are really the end points of the phase coexistence. For the choice of chemical potential distribution given by eqn. 4.3, there is no phase transition at higher polydispersities, volume fractions or densities.
This method makes it possible to address the question of solid-fluid phase continuity posed above: given that the coexistence region terminates abruptly, why is it not possible to go from the solid to the fluid via a continuous path in the plane, that is, without encountering a first order phase transition? The answer is made clear by simulations at other, off-coexistence values of the reduced pressure . The results are included in figure 4.6. The curve bounding the solid region from monodisperse close packing (s=0, =1) to the solid-fluid coexistence represents the infinite pressure line; a similar curve is shown for the fluid phase (let us call these curves the ``-lines''). The -lines provide an upper limit, above which the system cannot be compressed. This upper bound implies that it is not possible to go from the solid to the fluid avoiding a first order transition.
Although all semigrand states are of infinite pressure, the -line does not correspond to close packed states one would achieve in a canonical ensemble. The linear chemical potential that arises in the infinite pressure limit is incapable of producing the tight packing one normally associates with infinite pressure (i.e. in a fixed-composition ensemble). In order to determine the maximum volume fraction of the solid phase as a function of polydispersity, we performed simulations starting with a configuration obtained by semigrand simulation at the -line and compressing at fixed composition until every particle was constrained by its neighbors. The maximum volume fraction so obtained was averaged over ten different starting configurations with a different diameter distribution snapshot. These averaged as a function of polydispersity are included in figure 4.6.
It is immediately clear that there is a large difference between the semigrand -curve and the canonical results for . Simulations of larger systems indicate that this is not a finite-size effect. The explanation is that the imposed linear chemical potential difference function in the semigrand simulations is simply not the one that produces the maximum volume fraction . To remove the difference between the canonical and semigrand picture one could study other forms of .

 

Figure:  Phase diagram of polydisperse hard spheres in the plane. The coexistence region is as in figure 4.3. The curve joining the terminal solid-phase coexistence point to the s=0 closed-packed limit is the solid-phase -line (see text), while that emanating from the liquid-phase terminus is the liquid-phase -line. The solid line above the solid-phase -line describes the packing fractions obtained from the fixed-composition compressions described in the text. Fluid-phase random close packing obtained by Schaertl et al. [89] is described by the dashed curve.

 

Figure:  Behavior of polydisperse hard spheres in the plane. Phase diagram, -lines, and random-close packing curves from figure 4.6 are included. Fluid-phase curves according to the Mansoori et al. [90] equation of state are presented for chemical potential distributions linear (dotted curve), quadratic (solid curve), and cubic (dashed curve) in the sphere diameter. The three lines converge at the infinitely polydisperse limit, for which a Monte Carlo datum [91] is indicated.


In the fluid phase there is also a fixed-composition maximum volume fraction boundary: the random close packing volume fraction . Schaertl et al. [89] have studied as a function of polydispersity. Their results are included in figure 4.6. The difference between the semigrand -curve and the - curve is increasing with polydispersity. As in the solid case, this difference can be reduced by choosing other forms of the chemical potential distribution function. We demonstrate via application of the hard-sphere mixture equation of state of Mansoori et al. [90], which is applicable to the fluid phase only. In figure 4.7, we plot the packing fraction versus polydispersity according to this equation of state, for the linear chemical potential distribution used in the simulations, and for distributions that are quadratic or cubic in the sphere diameter:

where we have examined cases in which only one of , and is non-zero. The figure simply shows how other chemical potential forms can give rise to larger densities than the ``infinite pressure'' results studied here. We note several points: (i) the case where =0 results in a so-called infinitely polydisperse mixture [91], at which s=0.7414 and =0.104; this situation arises as ; (ii) the Mansoori equation agrees very well with the Monte Carlo data we have taken at and near the freezing transition, as well as at the infinitely polydisperse limit; however, one would not expect the equation to apply at conditions appropriate to random close packing, so we cannot describe this limit in the present analysis; (iii) the line is terminated at a point (=0.507) where the computed composition--which is an exponential of a cubic polynomial in --diverges because the coefficient of the cubic term becomes positive (the and lines are terminated on the figure at arbitrary points).



chapter 4 section 4.7


Peter Bolhuis
Tue Sep 24 20:44:02 MDT 1996