Laboratoire PCT, UMR Gulliver CNRS-ESPCI 7083, 10 rue Vauquelin, 75231 Paris Cedex 05, France.
J Chem Phys. 2012 Jun 21;136(23):234505. doi: 10.1063/1.4729753.
Molecular dynamics simulations of a hard sphere crystal are performed for volume fractions ranging from solidification point to melting point. A local bond order parameter is chosen to assign a nature, liquid or solid, to a particle. The probability for a liquid or solid particle to change state presents a typical sigmoid shape as the nature of its neighbors changes. Using this property, I propose a reaction-like mechanism and introduce a small number of rate constants. A mean-field approach to melting and a kinetic Monte Carlo algorithm on a lattice are derived from these chemical processes. The results of these models successfully compare with molecular dynamics simulations, proving that the main properties of melting can be captured by a small number of dynamical parameters.
对硬球晶体进行了从凝固点到熔点的体积分数的分子动力学模拟。选择局部键序参数将粒子的性质分配为液体或固体。当粒子的邻居性质发生变化时,液体或固体粒子改变状态的概率呈现典型的 S 形。利用这一特性,我提出了一种类似于反应的机制,并引入了少量的速率常数。从这些化学过程中推导出了熔化的平均场方法和格点上的动力学蒙特卡罗算法。这些模型的结果与分子动力学模拟成功进行了比较,证明了少量动力学参数可以捕捉到熔化的主要性质。