2006
DOI: 10.1142/s0219633606002180
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Constructing the Critical Curve for the Two-Layer Potts Model Using Cellular Automata

Abstract: The critical points of the 3-states two-layer Potts model on square lattice for different interlayer couplings (K x =K y ≠K z ) are calculated with high precision using probabilistic cellular automata with Glauber algorithm, where K x and K y are the nearest-neighbor interactions within each layer in the x and y directions, respectively and K z is the

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Cited by 6 publications
(8 citation statements)
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“…In a recent work, Asgari et al [26] showed that probabilistic CA based on the Glauber algorithm [27] is a fast and reliable simulation method for obtaining the critical point of the two-layer Ising and Potts model in the isotropic case (K x = K y = K z ), where K x and K y are the nearest-neighbor interactions within each layer in the x and y directions, respectively and K z is the inter-layer coupling. They have also shown that this approach is useful for the case of different inter-layer coupling of the twolayer Potts model (K x = K y = K z ) and constructed a critical curve for this model [28]. Although most of the works that have been done until now are for qualitative descriptions or for introducing fast methods for solving various Ising models, we have shown in our previous works that the probabilistic CA increases the calculations precision [26,28].…”
Section: Introductionmentioning
confidence: 91%
See 2 more Smart Citations
“…In a recent work, Asgari et al [26] showed that probabilistic CA based on the Glauber algorithm [27] is a fast and reliable simulation method for obtaining the critical point of the two-layer Ising and Potts model in the isotropic case (K x = K y = K z ), where K x and K y are the nearest-neighbor interactions within each layer in the x and y directions, respectively and K z is the inter-layer coupling. They have also shown that this approach is useful for the case of different inter-layer coupling of the twolayer Potts model (K x = K y = K z ) and constructed a critical curve for this model [28]. Although most of the works that have been done until now are for qualitative descriptions or for introducing fast methods for solving various Ising models, we have shown in our previous works that the probabilistic CA increases the calculations precision [26,28].…”
Section: Introductionmentioning
confidence: 91%
“…They have also shown that this approach is useful for the case of different inter-layer coupling of the twolayer Potts model (K x = K y = K z ) and constructed a critical curve for this model [28]. Although most of the works that have been done until now are for qualitative descriptions or for introducing fast methods for solving various Ising models, we have shown in our previous works that the probabilistic CA increases the calculations precision [26,28].…”
Section: Introductionmentioning
confidence: 91%
See 1 more Smart Citation
“…The previous approach could easily be used for calculation critical point of anisotropic twolayer Ising and Potts models which have different interlayer coupling coefficients ( &Ghaemi, 2006 andGhaemi, 2008 Table 1. The results are compared with other numerical methods and it is shown that they are in good agreement.…”
Section: Constructing the Critical Curve For Anisotropic Two-layer Momentioning
confidence: 99%
“…It is shown that the critical point is proportional to ξ and in such a way that it increases when the value of ξ or decreases. As we have mentioned in earlier work (Asgari & Ghaemi, 2006), it is possible to increase the precision of the calculation by increasing the number of lattice size in order to make the system to have less fluctuation and so, determination of the critical point will be easier. Also, it should be noted that the number of time steps should be high enough to determine the critical point especially in the case of fourth and more digits after the decimal point.…”
Section: Constructing the Critical Curve For Anisotropic Two-layer Momentioning
confidence: 99%