Materials systems need to perform reliably throughout their entire lifetime—and the longer their lifetime, the more useful they are. By studying the way systems perform, degrade and fail over time, we can optimize the systems we build to work better and longer. Utilizing data science and modeling, we integrate measurements of structural evolution to study and explore the properties of interface-rich materials, which result in the ultimate lifetime of materials systems. By replicating in the lab the lifetime wear of stressors such as sun, heat, moisture and even the complex landscape within the human body, we can track and predict how different systems will degrade over time, and how their performance will be affected.
Looking across materials systems, from metals, polymers, ceramics and composites, our research has advanced the performance of thin films for photovoltaic solar panels, catheter wires, brain electrodes, building envelopes, steel alloys and more. We determine which mechanism dictates the lifetime performance and assess how to strengthen the weakest link. From single-crystal turbine blades for more efficient wind turbines to transparent conductive oxides for devices, and even ensuring the reliability of additively manufactured parts produced in high-volume runs, we develop materials solutions that make a difference. We combine perspectives of how old materials have aged in the field with predictions of how new materials will perform years in the future.
Institutes, centers and labs related to Reliability and Lifetime Performance of Materials Systems
Faculty who conduct research in Reliability and Lifetime Performance of Materials Systems
Develops predictive lifetime models for materials degradation related to stress conditions and induced degradation mechanisms evaluated by quantitative spectroscopic characterization of materials
deformation mechanisms of metals and metal-matrix composites; fatigue, fracture, and creep; failure analysis; electron microscopy; 3D microscopy; novel methodologies for multi-scale material characterization; data science and analytics; open science
Analyzes performance of ceramics in energy applications, including fuel cells and oxygen transport membranes
Applies data science and analytics to energy and materials science research problems
Develops a unified theory for plastic deformation via slip and deformation twinning
Researches material reliability for biomedical and structural applications, advanced materials manufacturing and processing/microstructure/property relationships. Hybrid Autonomous Manufacturing.
Investigates phase transformations and materials processing, especially their impact on structure and properties of materials