Planning IUCRC at Case Western Reserve University: Center on Data Science for Materials Reliability and Degradation (MDS-Rely)

凯斯西储大学(CWRU)和匹兹堡大学(PITT)正计划成立一个新的IUCRC，名为可靠性和退化材料数据科学中心(MDS-RELY)。MDS-RELY的主要目标是应用数据科学知情的研究，以更好地了解基本材料的可靠性和寿命。这个IUCRC建立在两个地点现有的专注于能源材料、先进和添加剂制造以及数据科学和分析的中心的基础上。材料数据科学的最新进展有可能在创造新技术方面改变这一领域，这些新技术能够实现前所未有的寿命、在极端环境中的耐久性以及对各种退化和失效机制的理解。我们与业界建立的关系以及我们在协议、建模和应用方面的多学科能力是应对这一长期技术的重大挑战的关键。MDS-Repend将吸引不同的学生群体，并开发广泛的数据科学能力，以响应雇主的需求。MDS-Repend将利用产业界和学术界之间的关系，在将数据科学应用于材料开发、设计和可靠性方面取得进展。MDS-RELY将包括三个方面：(1)增强的可靠性研究协议，(2)建模和使用寿命预测，以及(3)可靠性和退化应用。推力一号将侧重于设计材料的数据知情实验研究，并开发以数据科学为基础的实验设计，同时进行无损和破坏性评估，以监测材料退化。推力2将专注于材料的退化和可靠性建模，并将包括基于图形的网络建模、机器学习、图像分析和时间序列分析。将创建数据分析管道，以便为未来的分析提供信息。这些模型将为数据知情的实验研究的设计带来洞察力。最后，推力3将通过了解材料系统中降解的主要因素，为不同应力条件下的材料设计选择提供信息。这也将允许在系统设计的材料选择部分更快地选择材料。研讨会会议进一步定义了直接响应行业需求的具体项目。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。

Case Western Reserve University (CWRU) and the University of Pittsburgh (Pitt) are planning to form a new IUCRC named the Center on Materials Data Science for Reliability and Degradation (MDS-Rely). The primary goal of MDS-Rely is to apply data science-informed research to better understand the reliability and lifetime of essential materials. This IUCRC builds on established centers at both locations focusing on Energy Materials, Advanced and Additive Manufacturing, and in Data Science and Analytics. Recent advances in materials data science have the potential to transform this field in creating new technologies that enable unprecedented lifetimes, durability in extreme environments, and understanding of various degradation and failure mechanisms. Our established relationships with industry and our multidisciplinary capabilities in protocols, modeling, and applications are key to taking on this grand challenge of long-lived technologies. MDS-Rely will engage a diverse cohort of students, and develop broad data science capabilities to respond to employers' needs. MDS-Rely will harness relationships between industry and academia to make headways in applying data science to materials development, design, and reliability. MDS-Rely will include three Thrusts: (1) Enhanced Reliability Study Protocols, (2) Modeling & Service Life Prediction, and (3) Reliability and Degradation Applications. Thrust 1 will focus on designing data informed experimental studies of materials and developing a data science-based experimental design with both non-destructive and destructive evaluations to monitor material degradation. Thrust 2 will focus on degradation and reliability modeling of materials and will encompass graph-based network modeling, machine learning, image analysis, and time-series analysis. Data analytic pipelines will be created to inform future analysis. These models will give insight back to the design of data informed experimental studies. Finally, Thrust 3 will inform materials design choices for different stress conditions by understanding the main contributors of degradation in a material system. This will also allow for much more rapid material selection in the material choice portion of a system design. The workshop meetings further define specific projects to direct respond to industry needs.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.