EAGER: Impact on Scientific Discovery using Simulation-Based Engineering & Science

EAGER：使用基于仿真的工程对科学发现的影响

• 批准号: 1013639
• 负责人: Merle Giles
• 金额: $ 20万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1013639&HistoricalAwards=false
• 关键词: EAGER; Impact; Scientific; Discovery; using

Industry's demand for and use of high-quality science and engineering is not well documented. In some instances it is not well understood. Demand for simulation-based engineering and science (SBE&S), however, has increased due to a variety of factors: economic pressure to decrease time-to-market; multi-disciplinary physics needed to address product complexity and safety; modern production methods and energy innovation and conservation; a general inability to conduct physical prototyping due to miniaturization, complex materials manipulation and safety; and the capability of high-performance computing (HPC) to run models with high fidelity and physical accuracy. In all these instances, SBE&S necessarily relies heavily on academic and industrial research. This research will benefit both the academic and industrial science communities by documenting the use of science by the industrial computational community. Target companies are in the Fortune 50 and have deep experience in SBE&S and invest regularly in academic research. They will each have significant experience in computational modeling using HPC - veritable power users that represent best practices in computational demand for scientific understanding and discovery with an additional ability to convert science into improved production methods and economic development. This research is expected to i) aid understanding of the interplay between federally-supported university-based research and industrial R&D and how interdependent academic and industrial science are, ii) relate HPC efforts within large U.S. companies to university-based research, iii) identify use cases that drive industry demand for high-quality research, iv) potentially create linkages to activities at a number of federal agencies and departments, v) identify practices that could potentially foster alliances in advanced software development, including petascale computing.

工业对高质量科学和工程的需求和使用没有得到很好的记录。在某些情况下，这一点并不被很好地理解。然而，由于多种因素，对基于模拟的工程和科学的需求有所增加：缩短上市时间的经济压力；解决产品复杂性和安全性所需的多学科物理学；现代生产方法和能源创新与节约；由于小型化、复杂材料操纵和安全而普遍无法进行物理原型制作；以及高性能计算以高保真和物理精度运行模型的能力。在所有这些情况下，SBE&S必然严重依赖学术和行业研究。这项研究将通过记录工业计算社区对科学的使用而使学术界和工业科学界都受益。目标公司跻身《财富》50强，在SBE&&S有丰富的经验，并定期投资于学术研究。他们每个人都将在使用HPC的计算建模方面拥有丰富的经验-名副其实的超级用户，代表着科学理解和发现的计算需求的最佳实践，并具有将科学转化为改进的生产方法和经济发展的额外能力。这项研究有望：1)帮助理解联邦政府支持的基于大学的研究和工业研发之间的相互作用，以及学术和工业科学是如何相互依赖的；2)将美国大公司内部的HPC努力与基于大学的研究联系起来；3)确定推动行业对高质量研究需求的用例；4)潜在地建立与多个联邦机构和部门的活动的联系；5)确定可能促进先进软件开发联盟的做法，包括PB级计算。