Computer Simulations of Phase Transitions

这一更新补助金是在支持研究计算 统计力学 将研究各种项目， 都可以用先进的计算技术来解决。 技术将被开发和完善， 竞争系统相变的模拟 交互. 将研究动态临界现象。 其他 研究课题将包括毛细管冷凝，高分辨率， 伊辛模型模拟，在经典的有限尺寸效应 海森堡模型，随机系统，磁超晶格和 表面相变 将使用各种技术来 实施这些模拟包括蒙特卡罗，蒙特卡罗 重整化群，分子动力学和自旋动力学。 多质点系统的计算模拟 代表了通常理论计算的替代方案， 实验研究 这件事的首席调查员 格兰特是物理模拟方面的专家 现象。 首席研究员将研究各种 目前统计力学中的问题， 解决方案使用计算机模拟，也将开发 相关的算法，以促进这些模拟。 的 研究课题是凝聚态物质的内在兴趣 物理学除了可能应用于磁 材料、材料的表面行为和算法开发。

This renewal grant is in support of research in computational statistical mechanics. A variety of projects will be studied which are amenable to solution using advanced computational techniques. Techniques will be developed and refined for the large scale simulation of phase transitions in systems with competing interactions. Dynamical critical phenomena will be studied. Other research topics wil include capillary condensation, high resolution Ising model simulations, finite size effects in the classical Heisenberg model, random systems, magnetic superlattices and surface phase transitions. Various techniques will be used to implement these simulations including Monte Carlo, Monte Carlo renormalization group, molecular dynamics and spin dynamics. Computational simulations of systems composed of many particle represent an alternative to the usual theoretical calculations and experimental investigation. The principal investigator on this grant is an accomplished expert on simulations of physical phenomena. The principal investigator will study a variety of current problems in statistical mechanics which are amenable to solution using computational simulation and will also develop associated algorithms to facilitate these simulations. The research topics are of intrinsic interest in condensed matter physics in addition to having possible application to magnetic materials, surface behavior of materials and algorithm development.