Computer Simulations of Phase Transitions

9727714朗道这是一个更新的拨款，以高级计算物理学家进行一系列的模拟凝聚态系统。 计算机模拟是一个强有力的工具，用于获得有关统计物理中广泛问题的基本信息，并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的大规模模拟方法的研究系统中的相变是很难处理的分析。 将使用的技术包括不同的蒙特卡罗和自旋动力学模拟。 模型预计是相关的磁性材料，立方二元合金，吸附在晶体衬底上的原子，和无序介质。 其中一些问题包括可能在空间中连续移动并受到弹性相互作用的粒子，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，有限的几何形状和/或壁的存在是导致不同于在本体中观察到的行为的原因。 平衡系统的静态和动态临界现象将被仔细研究。简单的非平衡膜生长模型将使用动力学蒙特卡罗方法进行研究。 %这是一个更新的拨款给高级计算物理学家进行一系列的模拟凝聚态系统。 计算机模拟是一个强有力的工具，用于获得有关统计物理中广泛问题的基本信息，并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的大规模模拟方法的研究系统中的相变是很难处理的分析。 所使用的技术包括不同的蒙特卡罗和自旋动力学模拟。 模型预计是相关的磁性材料，立方二元合金，吸附在晶体衬底上的原子，和无序介质。 ***

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. ***