Materials Data Science Approach for Reliability: Materials to Systems

Explore a technical talk from the Women in Data Science (WiDS) Livermore 2024 event, focusing on a materials data science approach for reliability. Delve into Laura Bruckman's presentation on predicting the durability of long-lived materials, particularly in the context of commercial PV modules. Discover how traditional reliability methods fall short and learn about the innovative data science approach that integrates complex data from real-world stress conditions, time-series power data, and degradation information. Gain insights into FAIRifying, integrating, and modeling this data to predict module lifetimes in various climate zones and forecast power output. Understand the importance of considering the interconnected degradation of materials within complex systems and how this approach can be applied to solar packaging materials, building envelope materials, coatings, and additively manufactured materials.