U.S. France Cooperative Research: Numerical Methods and Parallel Algorithms for Advanced Applications in Materials Preparation Process Modelling

这一为期两年的奖项支持美法在材料加工中的数值方法和并行算法方面的合作研究。研究人员是阿拉巴马大学的J·伊万·D·亚历山大、法国马赛流体力学研究所的帕特里克·本图克斯和贾利勒·瓦扎尼。该研究的目标是将并行计算策略与材料加工中的计算问题相结合。研究人员将确定和开发解决材料加工模型的技术和算法。然后，他们将把这些方法应用于其他流体系统中的晶体生长和传输过程。研究的重点是开发新的预测模型。目前的数值方法和模型是有限的，需要大量的计算时间才能产生有意义的解。这项研究的结果将提高材料加工的预测能力，特别是对于高度复杂的加工情况。Alexander博士将他在材料、工艺建模和技术方面的专业知识带到了这次合作中。法国调查人员在这一领域和流体动力学方面的大量专业知识将大大加强代码开发要求。调查人员的互补专业知识为合作提供了良好的基础。

This two-year award supports U.S.-France cooperative research in numerical methods and parallel algorithms in materials processing. The investigators are J. Iwan D. Alexander of the University of Alabama, Patrick Bontoux and Jalil Ouazzani of the Institute for Fluid Mechanics in Marseille, France. The objective of the research is to integrate parallel computing strategies with computational problems in materials processing. The investigators will identify and develop techniques and algorithms with which to solve materials processing models. Then they will apply the methods to crystal growth and transport processes in other fluid systems. The research focuses on developing new predictive models. Current numerical methods and models are limited and large computation times are required to produce meaningful solutions. The results of this research will advance predictive capabilities in materials processing, in particular, for highly complex processing situations. Dr. Alexander brings to this collaboration his expertise with materials process modeling and techniques. The code development requirements will be significantly strengthened by the considerable expertise of the French investigators in this area and in fluid dynamics. The investigators complementary expertise provides a sound basis for the collaboration.