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获取的数据资源，促进了更快的纳米复合材料设计和插入到高级应用中。该能力将支持三种主要类型的用户：对将其结果与其他工作进行详细比较感兴趣的研究人员；探索、发现和量化支配加工-结构-性能(p-S-p)关系的基本科学原理的研究人员；以及对将纳米复合材料用于高级应用感兴趣的材料设计师。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。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，并将有助于更好地理解p-S-p关系和设计具有商业意义的聚合物纳米复合材料。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)和由NSF材料研究部开发的原型(Nanomine)的早期工作的基础上。强大的本体将与Nanomine原型的扩展版本集成在一起，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、微结构重建、知识发现和材料设计推荐。一组标准为数据提供质量度量；这些度量将被集成到本体中，并用于在数据获取时验证数据。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。该奖项由高级网络基础设施部颁发，由美国国家科学基金会工程部(土木、机械与制造创新部)和国家科学基金会数学与物理科学部(材料研究部)共同支持。

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).