微粒子の凝集構造捕獲のための計算機シミュレーション法 : cluster-moving Monte Carloアルゴリズム

抄録

We present a new Monte Carlo simulation procedure which is capable of capturing aggregate structures in a suspension where fine particles are dispersed. The algorithm we call the "cluster-moving" Monte Carlo algorithm involves moving aggregates (clusters) as unitary particles at every certain Monte Carlo step. We discuss here the theoretical background of the cluster-moving Monte Carlo algorithm. The results of simulations for a model system, i.e., magnetic fluids, have shown that the new algorithm produces much more rapid convergence than the conventional one for unstable dispersion systems and reproduces the physically reasonable aggregate structures of fine particles.