1977
DOI: 10.1088/0305-4470/10/2/011
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Distribution of physical clusters

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Cited by 92 publications
(51 citation statements)
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“…In other words, probabilistic clusters are much smaller on average than the deterministic Hill clusters. On the other hand, the mean cluster size of the probabilistic Hill clusters can be calculated using an integral equation theory 29 (Coniglio et al, 1977a). The percolation density is then determined by the divergence of the mean cluster size.…”
Section: Percolation Lines In Simple Fluidsmentioning
confidence: 99%
“…In other words, probabilistic clusters are much smaller on average than the deterministic Hill clusters. On the other hand, the mean cluster size of the probabilistic Hill clusters can be calculated using an integral equation theory 29 (Coniglio et al, 1977a). The percolation density is then determined by the divergence of the mean cluster size.…”
Section: Percolation Lines In Simple Fluidsmentioning
confidence: 99%
“…The division of the Mayer f-function into two parts results in the decomposition of a grand partition function into contributions determined by the particles that are contained in physical clusters and "free" unbonded particles. Hill's ideas were further developed by Coniglio et al [38] as applied to the problem of percolation. They succeeded in separating the subset of graphs from a standard cluster f-expansion of the theory of simple liquids that determines the special pair-correlation function h + (r), which relates only to the particles belonging to the same physical cluster.…”
Section: Clustering and Continuum Percolationmentioning
confidence: 99%
“…Including these interactions augments the connectivity of the system and favours percolation. Since gas-liquid criticality is commonly preceded by percolation, 45 a phase separation sustained by s = 4, w = 4 defect clusters, which are not suppressed by rings, could occur at low T. However, we note that it is possible to have percolation but not phase separation. This suggests that a patchy particle model for DHS, in which chaining and branching are modelled via dissimilar patches, 30 may require not only chain-chain or chain-branching interactions, but also an additional, weaker branching-branching contribution to mimic the s = 4, w = 4 defect clusters.…”
Section: Discussionmentioning
confidence: 74%