Discontinuous percolation in diffusion-limited cluster aggregation
Y. S. Cho, Y. W. Kim, and B. Kahng

TL;DR
This study investigates how discontinuous percolation transitions in diffusion-limited cluster aggregation depend on spatial dimensions, cluster velocity scaling, and reaction probabilities, revealing a tricritical point and differences between models.
Contribution
It extends understanding of discontinuous percolation in DLCA by analyzing effects of dimension, velocity scaling, and reaction probability, identifying a tricritical point.
Findings
Discontinuous to continuous transition crossover at specific eta values in different dimensions.
Discontinuous PTs in RLCA model for small reaction probabilities in 2D and 3D.
Continuous PTs observed in 4D for RLCA regardless of reaction probability.
Abstract
Recently, the diffusion-limited cluster aggregation (DLCA) model was restudied as a real-world example of showing discontinuous percolation transitions (PTs). Because a larger cluster is less mobile in Brownian motion, it comes into contact with other clusters less frequently. Thus, the formation of a giant cluster is suppressed in the DLCA process. All clusters grow continuously with respect to time, but the largest cluster grows drastically with respect to the number of cluster merging events. Here, we study the discontinuous PT occurring in the DLCA model in more general dimensions such as two, three, and four dimensions. PTs are also studied for a generalized velocity, which scales with cluster size as . For Brownian motion of hard spheres in three dimensions, the mean relative speed scales as and the collision rate scales as $\sim…
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