2021
DOI: 10.1103/physreve.103.032153
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Husimi-lattice solutions and the coherent-anomaly-method analysis for hard-square lattice gases

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Cited by 7 publications
(9 citation statements)
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“…In the 1-NN model, the four nearest neighbors of a particle are excluded from being occupied. As density is increased, the system is known to undergo a continuous transition from a disordered fluid phase to an ordered sublattice phase (see [27,57] and references within for the large body of work on this model). The transition is expected to belong to the Ising universality class: γ /ν = 7/4, β/ν = 1/8, α/ν = 0, and ν = 1 [27,49].…”
Section: A 1-nn Model In Two Dimensionsmentioning
confidence: 99%
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“…In the 1-NN model, the four nearest neighbors of a particle are excluded from being occupied. As density is increased, the system is known to undergo a continuous transition from a disordered fluid phase to an ordered sublattice phase (see [27,57] and references within for the large body of work on this model). The transition is expected to belong to the Ising universality class: γ /ν = 7/4, β/ν = 1/8, α/ν = 0, and ν = 1 [27,49].…”
Section: A 1-nn Model In Two Dimensionsmentioning
confidence: 99%
“…The intractability of the model has resulted in many attempts to obtain the critical density and chemical potential using systematic expansions and approximate methods. These include high activity expansions [33,62,63], estimates of surface tension between ordered phases [64][65][66], and limits of Husimi tree [57].…”
Section: B 2-nn Model In Two Dimensionsmentioning
confidence: 99%
“…1. The solution of a given model in the core of the infinite tree (i.e., in the thermodynamic limit), known as Husimi lattice (HL) [26], can be seen as the first level of approximation for its behavior on the square lattice [25,27]. We may index the levels of approximation by the number of sites shared between each pair of adjacent clusters, which is L = 1 for this lattice.…”
Section: Ordinary Husimi Latticementioning
confidence: 99%
“…For instance, we may use, e.g., the Hoshen-Kopelman algorithm [37] to identify the possible clusters of empty sites in the interior of the RBB and, then, try to fully cover these clusters (if they exist) with k-mers through an exact enumeration process to find m kL (i; l, t, r). It turns out however that this complicated procedure can become very computationally demanding already for relatively small L's; at one hand, because N kL becomes large for large k and, on the other hand, because there are much bulk configurations for small k. Another possibility is the use of the RRs for the case L − 1 to obtain those for L, as recently done for hard squares in [25]. In fact, as illustrated in Fig.…”
Section: A Preliminariesmentioning
confidence: 99%
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