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

CIF21 DIBBs：PD：本体支持的聚合物纳米复合材料开放社区数据资源

• 批准号: 1640840
• 负责人: Deborah McGuinness
• 金额: $ 50万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1640840&HistoricalAwards=false
• 关键词: CIF21; DIBBs; PD; Ontology; Enabled

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).

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：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;探索，发现和量化控制加工-结构-性能（p-s-p）关系的基本科学原理的研究人员;以及有兴趣将纳米复合材料用于高级应用的材料设计师。 该资源将加速聚合物纳米复合材料的比较、探索和设计，用于从能源到医疗保健的应用。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，该资源是可扩展的，并将使人们能够更好地理解p-s-p关系和商业相关聚合物纳米复合材料的设计。 该资源建立在早期工作的基础上，使用美国国家标准与技术研究所（NIST）的材料数据管理系统（MDCS），以及通过NSF材料研究部门开发的原型（NanoMine）。 一个强大的本体将与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建议。 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。该奖项由高级网络基础设施部颁发，由NSF工程理事会（土木、机械制造创新部）和NSF数学物理科学理事会（材料研究部）共同支持。

项目成果

Remixing functionally graded structures: data-driven topology optimization with multiclass shape blending

• DOI: 10.1007/s00158-022-03224-x
• 发表时间: 2021-12
• 期刊: Structural and Multidisciplinary Optimization
• 影响因子: 3.9
• 作者: Yu-Chin Chan;D. Da;Liwei Wang;Wei Chen

METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design

• DOI: 10.1115/1.4048629
• 发表时间: 2020-06
• 期刊: ArXiv
• 作者: Yu-Chin Chan;Faez Ahmed;Liwei Wang;Wei Chen

Polymer Nanocomposite Data: Curation, Frameworks, Access, and Potential for Discovery and Design

• DOI: 10.1021/acsmacrolett.0c00264
• 发表时间: 2020-08-18
• 期刊: ACS MACRO LETTERS
• 影响因子: 7.015
• 作者: Brinson, L. Catherine;Deagen, Michael;Hu, Bingyin
• 通讯作者: Hu, Bingyin

NanoMine schema: An extensible data representation for polymer nanocomposites

• DOI: 10.1063/1.5046839
• 发表时间: 2018-11-01
• 期刊: APL MATERIALS
• 影响因子: 6.1
• 作者: Zhao, He;Wang, Yixing;Brinson, L. Catherine
• 通讯作者: Brinson, L. Catherine

An Ontology for a Polymer Nanocomposite Community Data Resource

聚合物纳米复合材料社区数据资源本体

• DOI: 10.1145/3091478.3098866
• 发表时间: 2017
• 期刊: WebSci2017
• 作者: Rawte, Vipula;McCusker, James;Zhao, He;Brinson, L. Catherine;Chen, Wei;Schadler, Linda;McGuinness, Deborah L.
• 通讯作者: McGuinness, Deborah L.