CIF21 DIBBs: PD: Ontology-Enabled Polymer Nanocomposite Open Community Data Resource

该项目为聚合物纳米复合材料社区开发了一个开放访问的数据资源，促进了纳米复合材料更快的设计和嵌入到高级应用中。该功能将支持三种主要类型的用户：有兴趣将他们的结果与其他工作进行详细比较的研究人员；研究人员探索，发现和量化管理处理-结构-性质（p-s-p）关系的基本科学原理；材料设计师对使用纳米复合材料进行高级应用感兴趣。该资源将加速聚合物纳米复合材料的比较、探索和设计，应用范围从能源到医疗保健。目标是为聚合物纳米复合材料社区创建一个开放访问、易于使用、持久、灵活的数据资源，该资源可扩展，并将有助于提高对p-s-p关系的理解和商业相关聚合物纳米复合材料的设计。该资源建立在使用美国国家标准与技术研究所（NIST）的材料数据管理员系统（MDCS）的早期工作基础上，并通过美国国家科学基金会材料研究部开发了一个原型（NanoMine）。一个健壮的本体将与NanoMine原型的扩展版本集成，以创建一个开放的链接数据社区资源，以支持组织、集成、挖掘和分析服务。改进的数据分析工具集成到NanoMine中，用于定量图像分析，微观结构重建，知识发现和材料设计推荐。一套标准为数据提供了质量度量；这些指标将集成到本体中，并用于在数据摄取时验证数据。该项目还利用开源可视化工具，并提供语义增强的浏览和可视化功能，以帮助用户发现新的关系。该奖项由先进网络基础设施部颁发，由美国国家科学基金会工程部（土木、机械和制造创新部）和美国国家科学基金会数学和物理科学部（材料研究部）联合支持。

The project develops an open access data resource for the polymer nanocomposites community, facilitating faster nanocomposite design and insertion into advanced applications. The capability would support three major types of users: researchers interested in comparing their results in detail to other work; researchers exploring, discovering, and quantifying fundamental scientific principles that govern processing-structure-property (p-s-p) relationships; and materials designers interested in using nanocomposites for advanced applications. The resource would accelerate the comparison, exploration, and design of polymer nancomposite materials, for applications ranging from energy to healthcare.The goal is to create an open access, easy to use, persistent, flexible data resource for the polymer nanocomposites community that is scalable and will enable improved understanding of p-s-p relationships and design of commercially relevant polymer nanocomposites. The resource builds upon earlier work using the Material Data Curator System (MDCS) at the National Institute of Standards and Technology (NIST), and a prototype (NanoMine) developed through the NSF Division of Materials Research. A robust ontology will be integrated with an expanded version of the NanoMine prototype to create an open linked data community resource to support organization, integration, mining, and analysis services. Improved data analytics tools are integrated into NanoMine for quantitative image analysis, microstructure reconstruction, knowledge discovery, and materials design recommendation. A set of standards provide quality metrics for the data; these metrics will be integrated into the ontology and used to validate data at the time of data ingest. The project also leverages open source visualization tools and provides semantically enhanced browsing and visualization capabilities to aid users in discovery of new relationships. This award by the Advanced Cyberinfrastructure Division is jointly supported by the NSF Engineering Directorate (Division of Civil, Mechanical & Manufacturing Innovation), and the NSF Directorate for Mathematical & Physical Sciences (Division of Materials Research).