2008
DOI: 10.1103/physrevlett.100.035701
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Weakly Polydisperse Systems: Perturbative Phase Diagrams that Include the Critical Region

Abstract: The phase behavior of a weakly polydisperse system, such as a colloid with a small spread of particle sizes, can be related perturbatively to that of its monodisperse counterpart. I show how this approach can be generalized to remain well behaved near critical points, avoiding the divergences of existing methods and giving access to some of the key qualitative features of polydisperse phase equilibria. The analysis explains also why in purely size-polydisperse systems the critical point is, unusually, located … Show more

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Cited by 4 publications
(5 citation statements)
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References 14 publications
(35 reference statements)
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“…This is surprising given the presence of fractionation. But one can confirm by perturbation theory 72,73 that the behaviour we observe comes from the fact that in our models polydispersity enters only via the particle size and not the strength of the interaction. For the MFE results shown, symbols correspond to the scaled values of the polydispersity δ used in the simulations.…”
Section: Fluid-solid Coexistencesupporting
confidence: 70%
“…This is surprising given the presence of fractionation. But one can confirm by perturbation theory 72,73 that the behaviour we observe comes from the fact that in our models polydispersity enters only via the particle size and not the strength of the interaction. For the MFE results shown, symbols correspond to the scaled values of the polydispersity δ used in the simulations.…”
Section: Fluid-solid Coexistencesupporting
confidence: 70%
“…17,[38][39][40] For instance, Evans has developed a perturbative approach for narrow distributions of the polydisperse attribute. 16,36,[41][42][43] This predicts, for example, that the difference in mean particle size between the two daughter phases is proportional to the variance of the parent distribution. It can also predict specific trends, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…But the pair correlation functions g ij (r) and hence the h ij (q) depend smoothly on particle size, so we expand the latter up to ǫ a i ǫ a j , taking e.g. for a = 1, h ij (q) = h 0 (q) + h 1 (q)(ǫ i + ǫ j ) + h 2 (q)ǫ i ǫ j [7]. This expansion is inserted into Eq.…”
mentioning
confidence: 99%
“…The compressibility from Eq. ( 3) can then be rewritten as ρk B T χ T (q) = S(q) − s T 0c (q)S −1 cc (q)s 0c (q) (7) where the (n − 1)-dimensional vector s 0c gathers the correlations between number and composition fluctuations, and the matrix S cc the correlations among the latter [14,16]. For the compressibility to vanish at jamming the two terms must cancel, which implies that local fluctuations in N become fully correlated with composition fluctuations.…”
mentioning
confidence: 99%