Disentangling Growth and Decay of Domains During Phase Ordering
Suman Majumder

TL;DR
This study uses Monte Carlo simulations to analyze the phase ordering dynamics of multi-species systems modeled by the q-state Potts model, revealing distinct growth and decay behaviors for winners and losers in domain evolution.
Contribution
It introduces a method to separately analyze the domain growth of winning and losing species, providing new insights into phase ordering kinetics in multi-species systems.
Findings
Winner domains follow Lifshitz-Cahn-Allen scaling $ frac{1}{2}$ without early corrections.
Loser domains grow slower than $ frac{1}{2}$ and decay as $ ext{t}^{-2}$.
The approach offers new insights into zero-temperature phase ordering in 2D and 3D.
Abstract
Using Monte Carlo simulations we study the phase ordering dynamics of a \textit{multi}-species system modeled via the prototype -state Potts model. In such a \textit{multi}-species system, we identify a spin states or species as the \textit{winner} if it has survived as the majority in the final state, otherwise we mark them as \textit{loser}. We disentangle the time () dependence of the domain length of the \textit{winner} from \textit{losers}, rather than monitoring the average domain length obtained by treating all spin states or species alike. The kinetics of domain growth of the \textit{winner} at a finite temperature in space dimension reveal that the expected Lifshitz-Cahn-Allen scaling law can be observed with no early-time corrections, even for system sizes much smaller than what is traditionally used. Up to a certain period, all the others species,…
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Opinion Dynamics and Social Influence
