Workshop: Recent Advances in Computational Methods for Nanoscale Phenomena; Ann Arbor, Michigan; August 29-31, 2016

该补助金为题为“纳米尺度现象计算方法的最新进展”的研讨会提供财政支持，该研讨会将于2016年8月29日至31日在密歇根大学安阿伯校区举行。本次研讨会将汇集来自不同学科（包括理论和计算力学，应用数学，材料科学和物理学）的研究人员，讨论计算方法的最新进展，以阐明纳米尺度力学，纳米尺度传输和纳米尺度下的材料行为，沿着其对宏观材料性能的影响。该赠款将支持年轻的科学参与者，以培养该领域的下一代科学领导人。由于所涉及的时间和长度尺度很小，预测纳米级的力学和物理学是极具挑战性的，特别是因为相关的实验往往不可用。该研讨会是朝着在相关时间和长度尺度上开发可靠，高效，准确和预测性计算技术迈出的一步。这些技术的发展将使研究人员不仅能够理解和预测现有材料的行为，而且还能够通过自下而上的设计策略推动新材料的开发和创造，与材料基因组计划和材料设计的巨大挑战保持一致。研讨会将包括36个口头报告，海报展示，以及讨论和个人互动的时间。

This grant provides financial support for the workshop entitled "Recent Advances in Computational Methods for Nanoscale Phenomena" to be held on the campus of the University of Michigan in Ann Arbor, Michigan, August 29-31, 2016. This workshop will bring together researchers from a variety of disciplines (including theoretical and computational mechanics, applied mathematics, materials science and physics) to discuss recent advances in computational methods to elucidate nanoscale mechanics, nanoscale transport and material behavior at the nanoscale, along with its influence on macroscopic material properties. The grant will support junior scientific participants to prepare the next generation of scientific leaders in this field. Due to the small time and length scales involved, predicting mechanics and physics at the nanoscale is extremely challenging, particularly as relevant experiments are often not available. This workshop is a step towards developing reliable, efficient, accurate and predictive computational techniques across the relevant time and length scales. The development of such techniques will enable researchers not only to understand and predict the behavior of currently-available materials but also drive the development and creation of novel materials through bottom-up design strategies, aligning well with the Materials Genome Initiative and the grand challenge of materials by design. The workshop will consist of 36 oral presentations, poster presentations, and time for discussions and individual interactions.