US-Japan Materials Genome (MG) Workshop to be held at the International Congress Center "Epochal Tsukuba" 2-20-3, Takezono, Tsukuba, Ibaraki, 305-0032, Japan; June 23-24, 2015

该奖项支持一个研讨会，以促进美国和日本在先进结构和基础设施材料领域的长期可持续合作的发展。该研讨会名为“美日材料基因组（MG）研讨会”，将促进美国材料基因组计划的目标，该计划由奥巴马总统于2011年宣布，旨在以一小部分成本将新材料的发现和部署速度提高一倍。该计划已经对社会和材料研究界产生了广泛的影响，通过综合使用实验和计算材料研究方法，以及对材料数据的开放获取，促进了新的合作和创新。本次研讨会将通过与日本的材料研究人员建立合作关系来进一步实现这些目标，共同解决希望管理、维护和共享大量材料数据的研究人员面临的一些关键问题。预期的结果包括创建和实施一个长期的、可持续的双边合作计划，以及一个材料信息学和数据库的联合平台。结构材料在国家物理基础设施发展中发挥着核心作用，美国和日本都在开发用于维护和改善其大型物理基础设施的结构材料方面做出了大量努力。此外，两国还在努力发现、设计和部署先进的结构材料，用于汽车、航空航天和发电行业等动态应用。从基础材料科学研究，到高质量数据的获取、管理和维护，最终到制造节能、环保和耐用的产品，这些都是需要各方面协调一致的重大事业。本次研讨会和后续研讨会的目标是将来自美国和日本的不同研究人员聚集在一起，讨论如何使用预测理论和建模，结合机器学习，数据挖掘和快速获取实验数据来生产高效低成本的制造产品，并通过材料数据的开放共享来加速材料的设计，发现和部署。

This award supports a workshop to facilitate the development of long-term, sustainable collaboration between US and Japan in the area of advanced structural and infrastructure materials. The workshop, entitled 'The US-Japan Materials Genome (MG) Workshop,' will promote the aims of the US Materials Genome Initiative, an initiative announced by President Obama in 2011, which aims to double the speed of discovery and deployment of new materials, at a fraction of the cost. The initiative has already had a wide impact on society and on the materials research community, spurring new collaborations and innovations resulting from integrated use of experimental and computational materials research approaches, and open access to materials data. This workshop will further these aims by establishing collaborations with materials researchers in Japan, to jointly address some of the key issues facing researchers who wish to manage, maintain, and share large amounts of materials data. Anticipated outcomes include the creation and implementation of a long term, sustainable, bilateral collaborative program, and a joint platform for materials informatics and databases.Structural materials play a central role in national physical infrastructure development, and both the US and Japan have substantial efforts in developing structural materials for applications in maintaining, and improving their large-scale physical infrastructure. In addition, both nations have efforts to discover, design, and deploy advanced structural materials for dynamic applications such as the automotive, aerospace, and power generation industries. These are major undertakings that require a concerted, coordinated effort in all aspects, ranging from fundamental materials science research, to the acquisition, curation, and maintenance of high-quality data, and, ultimately, to manufacturing products that are energy efficient, environmentally sustainable, and durable. The goals of this and subsequent workshops is to bring together a diverse group of researchers from the US and Japan to discuss ways to use predictive theory and modeling, combined with machine learning, data mining, and rapid-acquisition of experimental data to produce highly efficient and low-cost manufactured products, and to accelerate materials design, discovery, and deployment through the open sharing of materials data.