Computer Simulations of Phase Transitions

9727714兰道，这是对一位资深计算物理学家的续期拨款，他将进行一系列凝聚态系统的模拟。计算机模拟是获得统计物理中广泛问题的基本信息的有力工具，可以补充传统的理论和实验方法。这项研究将继续发展和完善大规模的模拟方法，用于研究难以解析处理的系统中的相变。将使用的技术包括不同的蒙特卡罗和自旋动力学模拟。模型有望与磁性材料、立方二元合金、晶体衬底上的吸附原子和无序介质相关。其中几个问题包括粒子可能在空间中连续运动并受到弹性相互作用的影响，而其他问题将限于具有离散近邻相互作用的刚性晶格(包括具有连续自由度的经典自旋)。在许多系统中，有限几何形状和/或墙的存在导致了与在整体中观察到的行为不同的行为。我们将仔细研究处于平衡状态的系统的静态和动态临界现象。用动力学蒙特卡罗方法研究薄膜生长的简单非平衡模型。%这是对一位资深计算物理学家的续订拨款，用于对凝聚态系统进行一系列模拟。计算机模拟是获得统计物理中广泛问题的基本信息的有力工具，可以补充传统的理论和实验方法。这项研究将继续发展和完善大规模的模拟方法，用于研究难以解析处理的系统中的相变。所使用的技术包括各种蒙特卡罗模拟和自旋动力学模拟。模型有望与磁性材料、立方二元合金、晶体衬底上的吸附原子和无序介质相关。***

9727714 Landau This is a renewal grant to a senior computational physicist to conduct a series of simulations of condensed matter systems. Computer simulations represent a powerful tool for obtaining fundamental information about wide ranging problems in statistical physics and can complement traditional theoretical and experimental approaches. This research will continue development and refinement of large scale simulation methods for the study of phase transitions in systems which are difficult to treat analytically. The techniques to be used include diverse Monte Carlo and spin dynamics simulations. Models are expected to be relevant to magnetic materials, cubic binary alloys, adsorbed atoms on crystalline substrates, and disordered media. Several of the problems include particles which may move continuously in space and which are subject to elastic interactions, whereas other problems will be confined to rigid lattices (including classical spins with continuous degrees of freedom) with discrete near neighbor interactions. In many of the systems finite geometries and/or the presence of walls are responsible for behavior which is different than that which is observed in the bulk. Both static and dynamic critical phenomena for systems in equilibrium will be carefully examined. Simple non-equilibrium models of film growth will be studied using kinetic Monte Carlo methods. %%% This is a renewal grant to a senior computational physicist to conduct a series of simulations of condensed matter systems. Computer simulations represent a powerful tool for obtaining fundamental information about wide ranging problems in statistical physics and can complement traditional theoretical and experimental approaches. This research will continue development and refinement of large scale simulation methods for the study of phase transitions in systems which are difficult to treat analytically. The techniques to be used include diverse Monte Carlo and spin dynamics si mulations. Models are expected to be relevant to magnetic materials, cubic binary alloys, adsorbed atoms on crystalline substrates, and disordered media. ***