Phase separation driven by surface diffusion: a Monte Carlo study

TL;DR

This paper introduces a kinetic Ising model called 'Model S' that simulates phase separation driven by surface diffusion, utilizing advanced Monte Carlo algorithms to analyze late-stage pattern dynamics.

Contribution

The paper develops a new kinetic Ising model with a kinetic constraint and introduces efficient multi-spin coding algorithms for simulating surface diffusion-driven phase separation.

Findings

Model S captures late-stage pattern dynamics effectively.

New algorithms enable faster Monte Carlo simulations.

Insights into surface diffusion effects on phase separation.

Abstract

We propose a kinetic Ising model to study phase separation driven by surface diffusion. This model is referred to as "Model S", and consists of the usual Kawasaki spin-exchange kinetics ("Model B") in conjunction with a kinetic constraint. We use novel multi-spin coding techniques to develop fast algorithms for Monte Carlo simulations of Models B and S. We use these algorithms to study the late stages of pattern dynamics in these systems.