Travel Support for International Focus Workshop: Granular and Particulate Networks

该奖项将为美国研究人员提供部分支持，以参加将于2019年7月8日至10日在德国德累斯顿举行的题为“颗粒和颗粒网络（PARNET 19）”的跨学科研讨会。研讨会将由马克斯·普朗克复杂系统物理研究所主办。该奖项将支持年轻的研究人员，他们将从与颗粒和微粒介质领域的国际领导者的互动中受益。它还将为他们提供与国际同行建立新合作的机会，并向国际科学和工程观众展示他们的研究成果。将特别努力支持科学和工程领域传统上代表性不足的群体的研究人员。颗粒和粒状材料的分析提出了具有挑战性的问题。颗粒和粒状介质中颗粒的排列和力的分布跨越了广泛的长度尺度，这使得预测这些材料对外部载荷的响应特别困难。开发新的理论方法，可以采取粒子水平的相互作用和预测宏观性质需要从数学，统计学，物理学，工程和计算机科学的专业知识。该研讨会的目标是汇集来自各种科学和工程学科的研究人员，包括在基于网络的方法培训的专家，探索使用网络理论来指导颗粒和颗粒介质的新理论发展。与会者将探讨如何隔离力传输的关键特征在颗粒网络，确定适当的工具，从网络分析来描述颗粒动力学，并使用这些工具来预测故障的颗粒systemsThis奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

This award will provide partial support for US researchers to attend an interdisciplinary workshop titled "Granular and Particulate Networks (PARNET19)," which will be held in Dresden, Germany on July 8-10, 2019. The workshop will be hosted by the Max Planck Institute for the Physics of Complex Systems. The award will support young researchers who will benefit from interacting with international leaders in the field of granular and particulate media. It will also provide them opportunities to establish new collaborations with international colleagues and present results of their research to an international science and engineering audience. Special efforts will be made to support researchers from traditionally underrepresented groups in science and engineering.The analysis of particulate and granular materials poses challenging problems. The arrangements of the particles and the distribution of forces in particulate and granular media span a broad range of length scales, which makes it especially difficult to predict how these materials respond to external loadings. Developing new theoretical methods that can take particle-level interactions and predict macroscopic properties requires expertise from mathematics, statistics, physics, engineering and computer science. The goal of the workshop is to assemble researchers from a wide variety of science and engineering disciplines, including experts trained in network-based approaches, to explore the use of network theory to guide new theoretical developments for particulate and granular media. Participants will explore ways to isolate key characteristics of force transmission in particulate networks, identify appropriate tools from network analysis to describe granular dynamics, and use these tools to predict failures in granular systemsThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.