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Elizabeth Holm is a Professor and Department Chair in the Department of Materials Science and Engineering at the University of Michigan. Her research focuses on computational materials science, where she studies a variety of materials systems phenomena. Holm's interests include the theory and modeling of microstructural evolution in complex polycrystals, physical and mechanical responses of microstructures, mechanical properties of carbon nanotube networks, atomic-scale properties of internal interfaces, machine vision for automated microstructural classification, and machine learning to predict rare events. She applies computational techniques across multiple scales—including atomic scale (molecular dynamics), mesoscale (Monte Carlo, phase field, cellular automata), and continuum scale (finite element)—with a particular emphasis on integrating data science and machine learning in materials science.
Department of Electrical Engineering and Computer Science