Simulations of Strongly Correlated Materials

将进行计算模拟和研究， 强相关的电子系统 这些系统的实例 包括高温超导体、重费米子材料 和磁性材料。 量子蒙特卡罗技术将是 结合统计推断的方法， 模拟这些系统的动态响应。 此外，本发明还提供了一种方法， 结合联合收割机量子蒙特卡罗和分析技术的方法 将被雇用。 这项研究的目的之一是计算 模型的实验和理论相关性质 系统比以往任何时候都更精确。 另一 目的是探索这些非微扰区域 模型来预测新的物理现象。 %%% 高温等强关联多体系统 超导体和磁性金属不受通常的 理论技术，如微扰理论。 因此，委员会认为， 由于缺乏计算分析方法， 模拟对于理解物理学变得越来越重要 参与这些系统。 这笔赠款将进行模拟 使用各种技术，以评估技术和 为了深入了解样品的基本物理学， 相关系统。

Computational simulations and research will be conducted on strongly correlated electronic systems. Examples of these systems include high temperature superconductors, heavy Fermion materials and magnetic materials. Quantum Monte Carlo techniques will be combined with methods of statistical inference to allow us to simulate the dynamical response of these systems. In addition, methods which combine quantum Monte Carlo and analytical techniques will be employed. One objective of the research is to calculate experimentally and theoretically relevant properties of model systems more accurately than heretofore possible. Another objective is to explore the non-perturbative regions of these models in order to predict new physical phenomena. %%% Strongly correlated many-body systems such as high temperature superconductors and magnetic metals are not amenable to the usual theoretical techniques such as perturbation theory. Consequently, because of the absence of analytical methods computational simulations become increasingly important to understand the physics involved with these systems. This grant will conduct simulations using a variety of techniques in order to assess the techniques and to gain insight into the underlying physics for sample strongly correlated systems.