2012
DOI: 10.1103/physreve.85.011601
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Langevin equations for competitive growth models

Abstract: Langevin equations for several competitive growth models in one dimension are derived. For models with crossover from random deposition (RD) to some correlated deposition (CD) dynamics, with small probability p of CD, the surface tension ν and the nonlinear coefficient λ of the associated equations have linear dependence on p due solely to this random choice. However, they also depend on the regularized step functions present in the analytical representations of the CD, whose expansion coefficients scale with … Show more

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Cited by 11 publications
(10 citation statements)
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“…By construction, h → h − h , then f (h, t) has zero mean, so its skewness and kurtosis are the most important quantities to observe [147,[178][179][180][181]. In addition, Langevin equations for growth models have been discussed by some authors [182][183][184]. Several works have been done in the weakly asymmetric simple exclusion process [136], the totally asymmetric exclusion process [137,185], and the direct d-mer diffusion model [138]: for a review see [170,181,186,187].…”
Section: Scaling Invariancementioning
confidence: 99%
“…By construction, h → h − h , then f (h, t) has zero mean, so its skewness and kurtosis are the most important quantities to observe [147,[178][179][180][181]. In addition, Langevin equations for growth models have been discussed by some authors [182][183][184]. Several works have been done in the weakly asymmetric simple exclusion process [136], the totally asymmetric exclusion process [137,185], and the direct d-mer diffusion model [138]: for a review see [170,181,186,187].…”
Section: Scaling Invariancementioning
confidence: 99%
“…the KPZ class) scales with λ −4 [22]. In competitive models, λ grows at least linearly with the difference p − p * [26], and the crossover time is expect to depend on p with (p − p * ) −4 . This result is corroborated by evaluating the local growth exponent β(t) ≡ d ln W/d ln t (or effective growth exponent) illustrated in Figure 4.…”
Section: (B))mentioning
confidence: 99%
“…the intrinsic roughness. In BD-RDSR in 2D, long crossovers from EW to KPZ scaling were already shown for small p [39][40][41] .…”
Section: Previous Results On the Bd-rdsr Modelmentioning
confidence: 85%