Collaborative Research: Electronic Properties of Strongly Correlated Systems using Petascale Computing

这项合作奖促进了科学研究使用大型新的计算资源命名为蓝色沃茨正在开发的IBM和计划部署在伊利诺伊大学在2011年。 它提供差旅费，以支持主要研究人员、Blue沃茨项目团队和供应商技术团队之间的技术协调，以及系统上超级计算时间的临时分配。 这些材料通常具有有趣的特性，例如高温超导性，巨磁阻，大的光学非线性和大的热电系数。该项目包括将计算机代码改编为蓝色沃茨，以模拟此类材料，并调查新型铁基超导体的电子特性。 研究人员将研究短程相关效应的物理学和d电子态的巡回性。他们将推导和研究各种pnictides的低能哈密顿量，用它们来研究跳跃积分，交换耦合，电子-声子和磁振子-声子相互作用，并确定超导温度的趋势。 该项目团队还将研究超导性和近藤效应之间的竞争。拟议的工作将为强相关材料的研究增加一个有价值的预测工具，包括那些具有潜在工业应用的材料。 所开发的技术应具有广泛的适用性，所开发的代码和方法将提供给更广泛的科学界。 该项目将包括通过使用最先进的数值和计算技术向学生教授固态物理学的许多复杂的身体概念，增强材料科学的人力基础设施。 该项目团队通过纳入学生和博士后研究人员来整合研究和教育。

This collaborative award facilitates scientific research using the large new computational resource named Blue Waters being developed by IBM and scheduled to be deployed at the University of Illinois in 2011. It provides travel funds to support technical coordination between the principal investigators, the Blue Waters project team and vendor technical team and a provisional allocation of supercomputing time on the system.The proposed project is an investigation of the behavior of materials containing strongly correlated electron systems. Such materials often have interesting properties; for example, high-temperature superconductivity, colossal magneto-resistance, large optical nonlinearities and large thermoelectric coefficients. The project includes the adaptation to Blue Waters of a computer code to model such materials and an investigation of the electronic properties of novel, iron-based superconductors. The researchers will study the physics of short-range correlation effects and the itinerancy of the d-electron states. They will derive and study low-energy Hamiltonians for various pnictides, using them to study hopping integrals, exchange couplings, electron-phonon and magnon-phonon interactions, and determining trends in superconducting temperatures. The project team will also examine the competition between superconductivity and the Kondo effect.The proposed work will add a valuable predictive tool for the study of strongly correlated materials including those with potentially interesting industrial applications. The techniques developed should be of broad applicability, and the code and methods developed will be made available to the broader scientific community. The project will include the teaching of complicated many body concepts of solid-state physics to students through the use of state-of-the-art numerical and computational techniques, enhancing the human infrastructure for materials science. The project team integrates research and education through the inclusion of students and post-doctoral researchers.