Unusual features of coarsening with detachment rates decreasing with cluster mass
F. D. A. Aarao Reis, R. B. Stinchcombe

TL;DR
This paper investigates one-dimensional particle models with size-dependent detachment rates, revealing unusual coarsening dynamics, including logarithmic corrections and dominance of small clusters for certain parameters, supported by analytical and simulation results.
Contribution
It introduces a new class of coarsening models with decreasing detachment rates and derives their scaling laws, cluster distributions, and dominant behaviors through heuristic, analytical, and simulation methods.
Findings
Typical cluster size scales as (t/ln(t))^{1/(k+2)}
Small clusters dominate for k<1, affecting average size scaling
Cluster size distribution exhibits power-law decay and skewed peaks
Abstract
We study conserved one-dimensional models of particle diffusion, attachment and detachment from clusters, where the detachment rates decrease with increasing cluster size as gamma(m) ~ m^{-k}, k>0. Heuristic scaling arguments based on random walk properties show that the typical cluster size scales as (t/ln(t))^z, with z=1/(k+2). The initial symmetric flux of particles between neighboring clusters is followed by an effectively assymmetric flux due to the unbalanced detachement rates, which leads to the above logarithmic correction. Small clusters have densities of order t^{-mz(1)}, with z(1) = k/(k+2). Thus, for k<1, the small clusters (mass of order unity) are statistically dominant and the average cluster size does not scale as the size of typically large clusters does. We also solve the Master equation of the model under an independent interval approximation, which yields cluster…
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