Elizabeth Holm
Professor and Department Chair, Department of Materials Science and Engineering, University of Michigan
Adjunct Faculty, Materials Science and Engineering
Elizabeth Holm uses the tools of computational materials science to study a variety of materials systems and phenomena. Her research areas include the theory and modeling of microstructural evolution in complex polycrystals, the physical and mechanical response 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. Computational techniques applied to these problems range from the atomic scale (molecular dynamics) through the mesoscale (Monte Carlo, phase field, cellular automata) to the continuum scale (finite element). A particular focus is identifying useful concepts from data science, including machine learning, machine vision, evolutionary computing, and network analysis, and developing them to answer materials science questions.
The Computer Vision Approach to 3-D Printing
Automatically Evaluating Microstructures
Behind the Researcher: Materials in the Moment
Education
1992 Ph.D., Materials Science and Engineering and Scientific Computing, University of Michigan
1989 SM, Ceramics, Massachusetts Institute of Technology
1987 BSE, Materials and Metallurgical Engineering, University of Michigan
Affiliations
Media mentions
Materials Science and Engineering
Carnegie Mellon University hosts 11th North American Materials Education Symposium
In early August, Carnegie Mellon University hosted the 11th North American Materials Education Symposium (NAMES), the first to be held in person since 2019.
CMU Materials Science and Engineering
Holm awarded AIME honorary membership
MSE’s Elizabeth Holm received an Honorary Membership in the American Institute of Mining Metallurgical and Petroleum Engineers for her outstanding service to The Minerals, Metals, and Materials Society and distinguished scientific achievements in computational materials science and engineering.
Materials Science and Engineering
Elizabeth Holm shares AIME Honorary Membership with Andrew Carnegie
Elizabeth Holm, Professor of Materials Science and Engineering received an Honorary Membership in the American Institute of Mining Metallurgical and Petroleum Engineers (AIME)
CMU Engineering
Data-frugal deep learning optimizes microstructure imaging
Compared to other computer-vision methods, Elizabeth Holm’s approach to characterizing material microstructure requires only 30-50 images to save researchers an abundance of time and money.