讨论了有关这些纳米结构自组织生长的动力学蒙特卡罗模拟计算中的最新进展。
We discuss recent progress on kinetic Monte Carlo simulations of the self-assembly of these structures.
给出应用于纳米晶粒生长的动力学蒙特卡罗模型，并对模拟方法做了细致的讨论。
A lattice kinetic Monte Carlo model for nano-crystal growth is presented and discussed in detail.
提出了一个简单的蒙特卡罗模型，可以与实验一致，有助于理解逐事件横动量起伏与多重数关联的动力学起源。
A simple Monte Carlo model is proposed, which can recover the data and thus shed some light on the dynamical origin of the multiplicity dependence of event-by-event transverse momentum fluctuation.
在第二章中，简要介绍了常用的计算化学方法，主要包括量子化学方法、分子力学、分子动力学和蒙特卡罗等方法。
In the second chapter, some computational methods including quantum chemistry method, Molecular Mechanics, Molecular Dynamic simulation, Monte Carlo method and so on, were briefly reviewed.
本文中，我们利用一套有效的组合蒙特卡罗算法，模拟计算了稀释平面转子模型以及广义XY模型的热动力学特征和相变行为。
In this paper, using a useful combined Monte Carlo algorithm, we simulate the dilute planar rotator model and generalized XY model to study the properties of thermodynamics and phase transition.
第二章我们介绍了最大熵方法，它可以和量子蒙特卡罗模拟混合使用来研究系统的动力学性质。
In Chapter 2 we introduce the Maximum Entropy Method which can be used in combination with the QMC simulations to study the dynamical properties.
第二章我们介绍了最大熵方法，它可以和量子蒙特卡罗模拟混合使用来研究系统的动力学性质。
In Chapter 2 we introduce the Maximum Entropy Method which can be used in combination with the QMC simulations to study the dynamical properties.
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