Simulations of Strongly Correlated Materials

将对强相关电子系统进行计算模拟和研究。这些系统的例子包括高温超导体、重费米子材料和磁性材料。量子蒙特卡罗技术将与统计推理方法相结合，使我们能够模拟这些系统的动态响应。此外，将采用量子蒙特卡罗和分析技术相结合的方法。本研究的目的之一是比以往更精确地计算模型系统的实验和理论相关性质。另一个目标是探索这些模型的非扰动区域，以预测新的物理现象。强相关多体系统，如高温超导体和磁性金属，不适合通常的理论技术，如微扰理论。因此，由于缺乏分析方法，计算模拟对于理解与这些系统相关的物理变得越来越重要。这笔拨款将使用各种技术进行模拟，以评估技术并深入了解样本强相关系统的潜在物理特性。

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.