2021
DOI: 10.1103/physreve.103.052137
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Numerical estimates of square lattice star vertex exponents

Abstract: Numerical values of lattice star vertex exponents are estimated using parallel implementations of the GARM and Wang-Landau algorithms in the square and cubic lattices. In the square lattice the results are consistent with exact values of the exponents, but in the cubic lattice there are deviations from the predictions of the -expansion. In addition, the entropic exponents of acyclic branched lattice networks are calculated, and found to be consistent with the predicted values in terms of star vertex exponents.

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Cited by 3 publications
(5 citation statements)
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“…This approach was developed in reference [23] where it was used effectively for estimating γ 1 and γ 11 using PERM simulations in the cubic half-lattice. See also references [15][16][17].…”
Section: Numerical Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…This approach was developed in reference [23] where it was used effectively for estimating γ 1 and γ 11 using PERM simulations in the cubic half-lattice. See also references [15][16][17].…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Thus, we select as our error bar on γ 1 this value of , giving our best estimate γ 1 = 0.95325 ± 0.00020. (16) The estimate for γ 11 was similarly obtained using the data of grafted self-avoiding walks with their endpoints in the hard wall forming a surface loop (these are 11-stars in our notation). The results of the analysis are shown in the bottom panel of figure 3.…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…Lattice self-avoiding walk models of star polymers have been studied since the 1970s [25] and remain of considerable interest in the statistical mechanics of polymeric systems. Numerical simulation of lattice stars stretches back decades [1,19,23,41], and their properties and scaling exponents have been calculated numerically [1,5,13,17,18,23,28,29,41,43] and by using field theoretic approaches [9,10,22,26,27,33]. A general survey can be found in references [11,21].…”
Section: Introductionmentioning
confidence: 99%