Planning IUCRC at University of Pittsburgh: Center for Data Science for Materials Reliability and Degradation (MDS-Rely)

匹兹堡大学（Pitt）和凯斯西储大学（CWRU）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研究，以更好地了解基本材料的可靠性和寿命。该IUCRC建立在两个地点的既定中心基础上，专注于能源材料，先进和增材制造以及数据科学和分析。材料数据科学的最新进展有可能改变这一领域，创造新技术，实现前所未有的寿命，在极端环境中的耐久性，以及对各种退化和故障机制的理解。我们与行业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挑战的关键。MDS-Rely将吸引多元化的学生，并开发广泛的数据科学能力，以满足雇主的需求。MDS-Rely将利用工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将包括三个重点：（1）增强的可靠性研究协议，（2）建模服务寿命预测，以及（3）可靠性和退化应用。重点1将侧重于设计材料的数据知情实验研究，并开发基于数据科学的实验设计，包括非破坏性和破坏性评估，以监测材料降解。Thrust 2将专注于材料的退化和可靠性建模，并将包括基于图的网络建模，机器学习，图像分析和时间序列分析。将创建数据分析管道，为未来的分析提供信息。这些模型将为数据知情实验研究的设计提供洞察力。最后，推力3将通过了解材料系统中退化的主要因素，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中更快速地选择材料。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The University of Pittsburgh (Pitt) and Case Western Reserve University (CWRU) 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.