Travel Support for International Focus Workshop: Granular and Particulate Networks

该奖项将为美国研究人员参加将于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（PARNET19）”的跨学科研讨会提供部分支持。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，他们将从与颗粒和颗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事建立新的合作关系的机会，并向国际科学和工程观众展示他们的研究成果。将作出特别努力，支持来自科学和工程领域传统上代表性不足的群体的研究人员。颗粒和颗粒材料的分析提出了具有挑战性的问题。颗粒和颗粒介质中颗粒的排列和力的分布跨越了很宽的长度尺度，这使得预测这些材料如何响应外部负载变得特别困难。发展新的理论方法，可以采取粒子水平的相互作用和预测宏观性质需要专业知识从数学，统计学，物理学，工程学和计算机科学。研讨会的目标是聚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方面受过培训的专家，探索使用网络理论来指导颗粒和颗粒介质的新理论发展。参与者将探索分离颗粒网络中力传递的关键特征的方法，从网络分析中识别适当的工具来描述颗粒动力学，并使用这些工具来预测颗粒系统中的故障。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.