2018
DOI: 10.1088/1742-5468/aa9bb4
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Critical percolation in the slow cooling of the bi-dimensional ferromagnetic Ising model

Abstract: We study, with numerical methods, the fractal properties of the domain walls found in slow quenches of the kinetic Ising model to its critical temperature. We show that the equilibrium interfaces in the disordered phase have critical percolation fractal dimension over a wide range of length scales. We confirm that the system falls out of equilibrium at a temperature that depends on the cooling rate as predicted by the Kibble -Zurek argument and we prove that the dynamic growing length once the cooling reaches … Show more

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Cited by 16 publications
(17 citation statements)
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“…The best scaling is achieved by using D A 1.93 and D 1.53 for the largest cluster size and the length of its hull, respectively, and z p 1. 67. We confirm what is found for the scaling of the wrapping probabilities, that is the existence of a time scale t p (L) ∼ L zp that marks the end of a first scaling regime and the entrance into the last coarsening one.…”
Section: Largest Cluster Scalingsupporting
confidence: 87%
“…The best scaling is achieved by using D A 1.93 and D 1.53 for the largest cluster size and the length of its hull, respectively, and z p 1. 67. We confirm what is found for the scaling of the wrapping probabilities, that is the existence of a time scale t p (L) ∼ L zp that marks the end of a first scaling regime and the entrance into the last coarsening one.…”
Section: Largest Cluster Scalingsupporting
confidence: 87%
“…Given that the two processes contribute additively to the overall rate in Eq. (22) we expect a > 0. Analogously, for the 3D star model, the improved scaling argument should take the form…”
Section: B Combining Evaporation and Annihilationmentioning
confidence: 80%
“…In the presence of these competing mechanisms, one expects a peak in H eq . Remarkably, for geometric domains, two peaks are present [15], one near the temperature where the percolating cluster first appears [31] and a second one very close to T c . We here extended this equilibrium measure of how heterogeneous the domains are in size, to non-equilibrium situations, H(t).…”
Section: Discussionmentioning
confidence: 99%