Morphological transition between diffusion-limited and ballistic aggregation growth patterns
S. C. Ferreira Jr., S. G. Alves, A. Faissal Brito, J. G. Moreira

TL;DR
This study investigates the transition between diffusion-limited and ballistic aggregation patterns using a biased random walk model, revealing universal scaling laws and critical exponents governing the morphological crossover.
Contribution
The paper introduces an efficient algorithm to simulate large clusters and characterizes the universal scaling behavior during the DLA to BA transition.
Findings
The mean density approaches a universal power law with a fixed exponent.
The asymptotic density scales with the bias parameter as a power law.
Characteristic crossover length diverges near the transition point, following a power law.
Abstract
In this work, the transition between diffusion-limited and ballistic aggregation models was revisited using a model in which biased random walks simulate the particle trajectories. The bias is controlled by a parameter , which assumes the value (1) for ballistic (diffusion-limited) aggregation model. Patterns growing from a single seed were considered. In order to simulate large clusters, a new efficient algorithm was developed. For , the patterns are fractal on the small length scales, but homogeneous on the large ones. We evaluated the mean density of particles in the region defined by a circle of radius centered at the initial seed. As a function of , reaches the asymptotic value following a power law with a universal exponent , independent of…
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