Collaborative Research: Worm algorithm and diagrammatic Monte Carlo in atomic and condensed matter physics

合作研究：原子和凝聚态物理中的蠕虫算法和图解蒙特卡罗

• 批准号: 0653183
• 负责人: Boris Svistunov
• 金额: $ 83.7万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0653183&HistoricalAwards=false
• 关键词: Collaborative; Research; Worm; algorithm; diagrammatic

The Collaborative Research project of the University of Massachusetts and StatenIsland College (CSI) of the City University of New York, currently supported by NSFunder Grants PHY-0426881 and PHY-0426814|is studying collective phenomena intrapped ultra-cold atomic Fermi gases, multi-component condensates in optical lattices,the supersolid state of 4He and the theory of deconfined criticality by the state-of-the-artMonte Carlo (MC) approaches. The numeric schemes will be based on Worm algorithm(WA) and Diagrammatic Monte Carlo (DMC)|generic high-performance techniquesintroduced by the research team for simulations of systems with topologically complexconfiguration spaces and large numbers of continuous variables.

马萨诸塞州大学和纽约城市大学的StatenIsland学院（CSI）的合作研究项目，目前由NSF根据赠款PHY-0426881和PHY-0426814提供支持|目前，我们正在利用最先进的蒙特卡罗方法研究超冷费米气体、光学晶格中的多组分凝聚、4 He的超固态和非受限临界理论等集体现象。数值方案将基于蠕虫算法（WA）和图蒙特卡罗（DMC）|通用的高性能technologies介绍了研究小组的系统与拓扑结构复杂的配置空间和大量的连续变量的模拟。