Collaborative Research: Framework: Data: HDR: Nanocomposites to Metamaterials: A Knowledge Graph Framework

来自四所大学(杜克大学、RPI大学、加州理工大学和西北大学)的专家团队为聚合物纳米复合材料和超材料社区创建了一个开源数据资源。广大用户将能够查询系统，识别可能具有某些特征的材料，并自动生成有关这些材料的信息。新的能力(二甲胺)是基于研究团队在纳米材料(Nanomine)方面的先前工作。这项工作集中在两个重要的领域问题上：发现控制纳米复合材料耗散峰的因素，以及由个性化跑鞋应用推动的超材料的量身定制的机械响应。该项目将极大地改善数据的表现形式和用户社区识别有前景的材料应用的稳健性。通过扩大纳米复合材料和超材料社区与经过管理的数据资源的互动，该项目使材料发现和设计方面的新合作成为可能。与国家标准与技术研究所(NIST)、空军研究实验室(AFRL)和洛克希德·马丁公司的密切联系促进了行业和政府对所产生的知识库的使用。该项目开发了一个开源材料知识图谱(MKG)框架。材料框架包括可扩展的语义基础设施、可定制的用户模板、半自动管理工具、支持本体的设计工具和定制用户仪表板。该工作概括了研究人员先前开发的原型数据资源(Nanomine)，并展示了该框架对超材料的可扩展性。Nanomine可以对各种各样的纳米复合材料样品进行注释、组织和数据存储，包括有关成分、加工、微结构和性能的信息。这种可延展性将通过创建一个用于超材料的亚胺模块来展示，该模块与用于纳米复合材料的纳米矿模块平行。这些框架将允许管理数据集和最终用户发现处理-结构-属性关系。这项工作通过创建一个可扩展的数据生态系统来共享和重复使用材料数据，从而支持材料基因组倡议，通过稳健的模型测试和分析工具的应用，使材料能够更快地开发。该能力将与NIST材料数据管理员系统兼容，该团队还与AFRL和洛克希德·马丁公司合作，以促进行业和政府对所产生的知识库的使用。这项由高级网络基础设施办公室颁发的奖项由NSF数学和物理科学局内的材料研究部联合支持。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

A team of experts from four universities (Duke, RPI, Caltech and Northwestern) creates an open source data resource for the polymer nanocomposites and metamaterials communities. A broad spectrum of users will be able to query the system, identify materials that may have certain characteristics, and automatically produce information about these materials. The new capability (MetaMine) is based on previous work by the research team in nanomaterials (NanoMine). The effort focuses upon two significant domain problems: discovery of factors controlling the dissipation peak in nanocomposites, and tailored mechanical response in metamaterials motivated by an application to personalize running shoes. The project will significantly improve the representation of data and the robustness with which user communities can identify promising materials applications. By expanding interaction of the nanocomposite and metamaterials communities with curated data resources, the project enables new collaborations in materials discovery and design. Strong connections with the National Institute of Standards and Technology (NIST), the Air Force Research Laboratory (AFRL), and Lockheed Martin facilitate industry and government use of the resulting knowledge base. The project develops an open source Materials Knowledge Graph (MKG) framework. The framework for materials includes extensible semantic infrastructure, customizable user templates, semi-automatic curation tools, ontology-enabled design tools and custom user dashboards. The work generalizes a prototype data resource (NanoMine) previously developed by the researchers, and demonstrates the extensibility of this framework to metamaterials. NanoMine enables annotation, organization and data storage on a wide variety of nanocomposite samples, including information on composition, processing, microstructure and properties. The extensibility will be demonstrated through creation of a MetaMine module for metamaterials, parallel to the NanoMine module for nanocomposites. The frameworks will allow for curation of data sets and end-user discovery of processing-structure-property relationships. The work supports the Materials Genome Initiative by creating an extensible data ecosystem to share and re-use materials data, enabling faster development of materials via robust testing of models and application of analysis tools. The capability will be compatible with the NIST Material Data Curator System, and the team also engages both AFRL and Lockheed Martin to facilitate industry and government use of the resulting knowledge base. This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Materials Research within the NSF Directorate for Mathematical and Physical Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.