Workshop: Probability and Materials - from Nano- to Macro-Scale

研讨会：概率与材料 - 从纳米到宏观

• 批准号: 0352038
• 负责人: Lori Graham-Brady
• 金额: $ 1.99万
• 依托单位: Johns Hopkins University
• 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: 2003-11-01 至 2005-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0352038&HistoricalAwards=false
• 关键词: Workshop; Probability; Materials; Nano; Macro

Workshop Proposal: Probability and Materials - links from Nano- to Macro-ScaleWorkshop Chair: Lori Graham-BradyProgress in understanding uncertainties in material behavior at the full range from nano- to macro-scale, as well as the development of appropriate links between randomness at different scales, will require contributions from various disciplines, including materials science, applied mechanics and mathematics, and civil and mechanical engineering. Furthermore, connections between experimental, computational and analytical researchers will be a key component to developing an understanding of the relationships between probability and material behavior. This proposal outlines a 3-day invitation-only workshop entitled "Probability and Materials: from Nano- to Macro-scale", which is to take place at Johns Hopkins University in June 2004. The goal of this workshop is to provide a forum for researchers across multiple disciplines to discuss the state of the art and to define critical future directions in the study of material randomness. Approximately 30-35 speakers are expected to participate in the workshop, on research related to one of three major topics: Data Gathering and Management, Temporal and Spatial Randomness of Materials, and Multi-Scale Modeling.

研讨会提案：概率与材料--从纳米尺度到宏观尺度的联系研讨会主席：Lori Graham-Brady在从纳米尺度到宏观尺度的全范围理解材料行为的不确定性方面取得进展，并在不同尺度的随机性之间建立适当的联系，将需要包括材料科学、应用力学和数学以及土木和机械工程在内的不同学科的贡献。此外，实验、计算和分析研究人员之间的联系将是发展对概率和物质行为之间关系的理解的关键组成部分。该提案概述了一个为期3天、仅限受邀参加的题为“概率与材料：从纳米尺度到宏观尺度”的研讨会，该研讨会将于2004年6月在约翰·霍普金斯大学举行。这次研讨会的目标是为跨多个学科的研究人员提供一个论坛，讨论材料随机性研究的最新进展，并确定关键的未来方向。预计将有大约30-35名发言者参加研讨会，讨论与以下三个主要主题之一有关的研究：数据收集和管理、材料的时间和空间随机性以及多尺度建模。