2021
DOI: 10.1016/j.rinp.2021.104435
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The Kardar-Parisi-Zhang exponents for the 2+1 dimensions

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Cited by 21 publications
(24 citation statements)
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“…In particular we use the SS model, where controlling the probability p we can change the effective noise intensity. The results support recent work [43], which suggest that the effective noise has fractal dimension d f . This fractal dimension is associated with the KPZ exponents from Eq.…”
Section: The Hidden Symmetrysupporting
confidence: 91%
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“…In particular we use the SS model, where controlling the probability p we can change the effective noise intensity. The results support recent work [43], which suggest that the effective noise has fractal dimension d f . This fractal dimension is associated with the KPZ exponents from Eq.…”
Section: The Hidden Symmetrysupporting
confidence: 91%
“…For example, the stochastic cellular automaton, etching model [4,7,8], which mimics the erosion process by an acid has been recently proven to belong to the KPZ universality class [67]. Thus, it was used together with the SS model to obtain the fractal dimension and the exponents with a considerable precision [43]. Now, we want to discuss how the fluctuationdissipation theorem is affect by the interface growth.…”
Section: Fluctuations Relations and Fractal Geometrymentioning
confidence: 99%
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“…Recently Anjos et al [28] proposed that the growth dynamics builds up an interface with a fractal dimension d f , which filters the original fluctuations given origin to new fluctuations which, by it turns, yields a new FDT in the fractal space. This allows a possible solution for the KPZ exponents [29]. There is much hope that this approach will drive us to unexpected hidden symmetries and new formulations of the FDT, in line with a visionary comment expressed by Giorio Parisi in the year of physics concept [30].…”
Section: Editorial On the Research Topicmentioning
confidence: 61%
“…The violation of the FDT is well-known in the literature, for example, in the KPZ framework [2,33] for d > 1, in structural glass [45] and in ballistic diffusion [46][47][48][49]. Thus, it was proposed [50,51] that, for d + 1 dimensions, the FDT must change to include the fractal dimension of the rough interface connecting the global roughness exponent with the fractal dimension, considering that in a steady-state regime we have a well-defined w s and d f . Thus, for completeness, the correlation between the global exponent α and d f needs to be verified in lattice models.…”
Section: Introductionmentioning
confidence: 99%