Scaling in the crossover from random to correlated growth
Fabio D. A. Aarao Reis

TL;DR
This paper investigates the transition from random to correlated surface growth in lattice models, deriving scaling laws for the crossover time and roughness, with implications across various universality classes and dimensions.
Contribution
It introduces a scaling framework for the crossover from random to correlated growth, providing explicit relations for crossover time and roughness amplitudes across different models and classes.
Findings
Crossover time scales as t_0^{1/2} for roughness saturation.
For models with lateral aggregation, t_0 ~ 1/p; for solid-on-solid models, t_0 ~ 1/p^2.
Scaling relations extend to all dimensions and various universality classes.
Abstract
In systems where deposition rates are high compared to diffusion, desorption and other mechanisms that generate correlations, a crossover from random to correlated growth of surface roughness is expected at a characteristic time t_0. This crossover is analyzed in lattice models via scaling arguments, with support from simulation results presented here and in other authors works. We argue that the amplitudes of the saturation roughness and of the saturation time scale as {t_0}^{1/2} and t_0, respectively. For models with lateral aggregation, which typically are in the Kardar-Parisi-Zhang (KPZ) class, we show that t_0 ~ 1/p, where p is the probability of the correlated aggregation mechanism to take place. However, t_0 ~ 1/p^2 is obtained in solid-on-solid models with single particle deposition attempts. This group includes models in various universality classes, with numerical examples…
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