2009 Gordon Research Conference on Physical Metallurgy: Integrating Computational Materials Science and Engineering (ICMSE); Andover, NH: August 2-7, 2009

技术：本次戈登会议的目的，将在普罗克特学院，安多弗，新罕布什尔州，2009年8月2日至7日举行，是探索在使用计算材料模型，以统一金属材料的科学和工程的最新进展。本次会议讨论的一个重要部分是在材料行业内形成一个新的和潜在的变革性学科。它被称为综合计算材料科学与工程（ICMSE）。作为2008年美国国家科学院研究和一些政府和行业赞助的研发项目的主题，ICMSE涉及材料模型的开发和利用，这些模型捕获了工程界使用的基本见解和定量加工-结构-性能关系。重点介绍先进结构合金和热障涂层的加工-微观结构和微观结构-性能关系的量化研究进展。先进的计算技术，如那些连接从头计算相平衡和微观结构将被覆盖。实验活动是定量加工-结构-性质关系发展的核心，新的实验表征工具也将是重点。本次会议的目的是促进深入讨论，推进我们对当前能力和挑战的理解，垂直整合这些知识及其在航空航天，汽车，发电和其他行业的应用。非技术性：本次会议旨在使那些在工业中开发和应用计算材料模型的前沿人员以及那些参与计算和实验材料科学前沿的人员受益。在将计算方法与实验相结合以捕获精确的机理细节并提供预测的独立验证方面，已经做出了重大努力，并且还在长度尺度上进行了整合。目前的追求是开发这些各种方法的集成，使得在给定部件中的材料的插入可以在其实际制造之前被优化。2009年戈登物理冶金研究会议将集中讨论金属材料的ICMSE发展。它将为建立一个对工业竞争力和国家安全具有重大和广泛影响的新学科做出显著贡献。然而，为这些金属材料开发的许多计算和实验方法和集成方案对于其他材料类型也是有用的，通常只有很小的修改。显然，将ICMSE作为一门新学科建立将产生极其广泛的影响。临时计划包括30名特邀演讲者和讨论领导人，其中5名来自欧洲或澳大利亚，其余来自美国。此外，预计将支持大约40名有前途的研究生或博士后研究员，预计10%的参与者将受益于NSF的支持。

TECHNICAL:The aim of this Gordon Conference, to be held at the Proctor Academy, Andover, NH, August 2 to 7, 2009, is to explore recent progress in the use of computational materials models to unify the science and engineering of metallic materials. An essential part of the discussion at this meeting is to form a new and potentially transformational discipline within the materials profession. It is called Integrated Computational Materials Science and Engineering (ICMSE). The topic of a 2008 US National Academy Study and a number of government and industry sponsored R&D programs, ICMSE involves the development and utilization of materials models that capture fundamental insights and quantitative processing-structure-property relationships for use by the engineering community. Key advances in quantification of processing-microstructure and microstructure-property relationships of advanced structural alloys and thermal barrier coatings will be highlighted. Advanced computational techniques such as those linking ab-initio calculations to phase equilibria and microstructure will be covered. Experimental activities are central to the development of quantitative processing-structure-property relationships and new experimental characterization tools will also be a focus. An aim of this conference is to foster a deep discussion advancing our understanding of the current capability and challenges for vertical integration of this knowledge and its application in aerospace, automotive, power generation and other industries. The participants represent universities, industries and national laboratories.NON-TECHNICAL:This conference is designed to benefit those on the forefront of development and application of computational materials models in industry, as well as those involved at the leading edge of computational and experimental materials science. There has been a significant effort involved in coupling computational methods with experiment to capture accurate mechanistic details and provide independent validation of predictions, at scale, and also integrating across length scales. The current quest is to develop the integration of these various approaches such that the insertion of a material in a given component may be optimized prior to its actual manufacture. The 2009 Gordon Research Conference on Physical Metallurgy will focus on the development of ICMSE for metallic materials. It will make a marked contribution to the establishment of a new discipline with significant, and broad, impact on industrial competitiveness and national security. However, many of the computational and experimental approaches and schemes for integration developed for these metallic materials will be useful for other materials types, often with only minor modifications. It is clear that establishing ICMSE as a new discipline will have an extremely broad impact. The provisional program includes 30 invited speakers and discussion leaders with 5 of these speakers from Europe or Australia and the remainder from the US. Additionally, it is expected that approximately 40 promising graduate students or postdoctoral fellows will be supported and 10% of the participants are expected to benefit from NSF support.