权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Theory and Application of Computation in Statistical Physics

统计物理计算理论与应用

基本信息

批准号：
9978233
负责人：
Jonathan Machta
金额：
$ 25.7万
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：
1999
资助国家：
美国
起止时间：
1999-11-01 至 2003-10-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9978233&HistoricalAwards=false
关键词：
Theory Application Computation Statistical Physics

项目摘要

9978233MachtaThis grant supports work at the interface of statistical physics and theoretical computer science. In particular this grant supports work involving the development and application of cluster Monte Carlo algorithms in statistical physics, and the analysis of models in statistical physics from the viewpoint of computational complexity theory. In the first area, the PI will extend previous work in developing a new invasive cluster approach to simulate the properties of materials described by lattice models. In the second, the PI will apply computational complexity theory, which classifies problems according to the resources required to simulate them, to related materials theory models such as diffusion limited aggregation and invasion percolation.%%%This grant supports work at the interface of computer science and materials theory, with research proposed in two related areas. The first area will emphasize the development and application of an innovative cluster Monte Carlo approach in statistical physics to expand current theoretical capabilities in computational modeling of phase transitions in materials. The second area will emphasize applying developments in computational complexity theory from computer science to mathematically related problems in materials science such as the growth of materials in diffusion limited conditions and fluid flow though porous media.***

9978233Machta该补助金支持统计物理学和理论计算机科学的接口工作。特别是，该补助金支持涉及统计物理中簇蒙特卡罗算法的开发和应用的工作，以及从计算复杂性理论的角度分析统计物理中的模型。在第一个领域，PI将扩展以前的工作，开发一种新的侵入性集群方法来模拟晶格模型描述的材料特性。在第二部分中，PI将应用计算复杂性理论，该理论根据模拟所需的资源对问题进行分类，并将其应用于相关的材料理论模型，如扩散限制聚合和侵入渗流。该资助支持计算机科学和材料理论接口的工作，并在两个相关领域进行研究。第一个领域将强调统计物理学中创新簇蒙特卡罗方法的开发和应用，以扩展当前材料相变计算建模的理论能力。第二个领域将强调将计算机科学中计算复杂性理论的发展应用于材料科学中与数学相关的问题，例如扩散限制条件下材料的生长和多孔介质中的流体流动。