Acquisition of a Beowulf Cluster for Computational Materials Research, Education and Student Training

收购 Beowulf 集群用于计算材料研究、教育和学生培训

• 批准号: 0315603
• 负责人: Sharon Glotzer
• 金额: $ 20万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-15 至 2004-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0315603&HistoricalAwards=false
• 关键词: Acquisition; Beowulf; Cluster; Computational; Materials

This grant provides support for the acquisition of a Beowulf cluster for computational materials research, education and student training at the University of Michigan. Due to phenomenal advances in computer power and accessibility, simulation now guides discovery and understanding of materials processes in nanoscience and technology, microelectronics, polymer processing, photonics, designed materials, autonomic materials systems, and many other technologically important areas. The simulation techniques required to solve materials problems are inherently multidisciplinary, involving length and time scales that span many orders of magnitude. As such, they require the combined use of disparate computational methodologies originally conceived for specific applications in particular disciplines. Expertise in these different techniques tends to remain isolated within their fields of origin. These disciplinary boundaries must be eliminated in order to develop scale-spanning simulation methodologies that coordinate and integrate complementary computational methods and thereby facilitate the investigation of problems too complex to be tackled by a single technique. The goal is three-fold: (1) to foster interdisciplinary and innovative research and education in computational materials at the University of Michigan; (2) to lead in the development and application of cutting-edge, scale-spanning simulation methods for materials research; and (3) to educate and train students in computational methods that span the length and time scales from molecules to macroscopic properties for materials discovery, design, and development. We anticipate our graduates to be vigorously recruited by industry, government laboratories, and universities. A center format is imperative for this endeavor because of the need to pool expertise in diverse computational methodologies. Through the various programs planned, this center will provide a forum for interaction among faculty and students to promote the cross-fertilization between the many areas of specialization that drive advances in computational materials research. This cluster will permit the simultaneous use by multiple users for education, training, and research, and will allow simulations of materials and materials processes over an order of magnitude larger in some instances than previously attainable. Such improvements in scale are crucial to advancing fundamental understanding and scientific discovery. A broader impact of this project is achieved both through the development of innovative computational methodologies and the training of highly skilled computational scientists and engineers, capable of addressing the growing need for the advancement of materials technologies in today's society. Our vision is to be a highly visible leader in research and education in computational materials science and engineering, developing simulation techniques, curricula, and outreach programs at Michigan that will serve as models for the materials community around the world.

该赠款为收购密歇根大学的计算材料研究，教育和学生培训的Beowulf群集提供了支持。由于计算机功率和可访问性的显着进步，模拟现在指导和理解纳米科学和技术，微电子，聚合物处理，光子学，设计材料，自主材料系统以及许多其他技术重要领域的发现和理解。解决材料问题所需的仿真技术本质上是多学科的，涉及跨越许多数量级的长度和时间尺度。因此，他们需要最初针对特定学科的特定应用程序构想的不同计算方法的联合使用。这些不同技术的专业知识倾向于在其原籍领域保持孤立。必须消除这些学科边界，以开发跨化模拟方法，以协调和整合互补的计算方法，从而促进对问题的调查过于复杂而无法通过单个技术解决。目标是三个方面：（1）在密歇根大学培养计算材料的跨学科和创新研究； （2）领导着用于材料研究的尖端，规模跨度模拟方法的开发和应用； （3）教育和培训学生的计算方法，这些方法跨越了从分子到宏观特性的长度和时间尺度，以发现材料发现，设计和开发。 我们预计我们的毕业生将由行业，政府实验室和大学大力招募。对于这项工作，必须采用中心格式，因为需要在各种计算方法中汇总专业知识。通过计划的各种计划，该中心将为教师和学生之间的互动提供一个论坛，以促进许多专业领域之间的交叉利用，从而推动计算材料研究的进步。该集群将允许多个用户同时使用教育，培训和研究，并允许在某些情况下比以前可实现的材料和材料过程模拟材料和材料过程。这种规模的改进对于促进基本理解和科学发现至关重要。通过开发创新的计算方法和培训高技能的计算科学家和工程师的培训，可以解决该项目的更广泛影响，从而解决了当今社会中材料技术进步的日益增长的需求。我们的愿景是成为计算材料科学和工程研究和教育方面的高度可见领导者，在密歇根州开发模拟技术，课程和外展计划，该计划将成为世界各地材料社区的模型。