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Electronic Structure of Condensed Matter

Electronic Structure of Condensed Matter
凝聚态物质的电子结构
批准号:
9422496
负责人:
David Ceperley
金额:
$48.5万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-05-01 至 1998-04-30

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中文摘要
翻译
这项关于凝聚态体系电子结构的研究是由材料研究部、高级科学计算部和数学科学部联合支持的。该研究通过对计算科学家和物理学家的支持,将电子结构的最新研究与大规模并行计算机的算法开发结合起来。使用的主要方法是量子蒙特卡罗和密度泛函理论的结合。利用这些技术,将解决各种各样的问题,包括量子霍尔系统中的激发、超流体中的声、硅团簇、金属的表面能、量子点系统中的输运和氧化铜平面中的强相关电子。算法正在为与系统大小成线性比例的独立电子开发。这项计算密集型的研究将使用最新的技术和计算机来研究涉及材料和凝聚态中许多电子系统行为的各种问题。这项研究由材料研究部、高级科学计算部和数学科学部联合资助。***
英文摘要
9422496 Ceperley This research on the elctronic structure of condensed matter systems is jointly suppported by the Divisions of Materials Research, Advanced Scientific Computing and Mathematical Sciences. The research combines state-of-the-art research on electronic structure with algorithm development for massively parallel computers through support for both computational scientists and physicists. The primary methods to be used are a combination of Quantum Monte Carlo and Density Functional Theory. Using these techniques a wide variety of problems will be addressed including excitations in quantum Hall systems, votices in superfluids, silicon clusters, surface energies of metals, transport in quantum dot systems and strongly correlated electrons in copper oxide planes. Algorithms are being developed for independent electrons which scale linearly with the system size. %%% This computationally intensive research will use the latest techniques and computers to attack a variety of problems involving the behavior of many electron systems in materials and condensed phases. The research is being jointly funded by the Divisions of Materials Research, Advanced Scientific Computing and Mathematical Sciences. ***
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会议论文
Electronic Structure Workshop (ES19) University of Illinois at Urbana-Champaign
Materials World Network: The Materials Computation Center Outreach Effort
CMG COLLABORATIVE RESEARCH: Quantum Monte Carlo Calculations of Deep Earth Materials
Collaborative Research: Petascale Simulations of Quantum Systems by Stochastic Methods: Tools and Applications
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