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
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
- additive manufacturing
- advanced materials processing and manufacturing
- computational materials science and engineering
- computer vision
- machine learning
- materials computation and informatics
- materials science & engineering
- metallurgy & metallurgical engineering
- microstructural science
- multiscale modeling
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)
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.
Refuting a 70-year approach to predicting material microstructure
Researchers at Carnegie Mellon University have developed a new microscopy technique that maps material microstructure in three dimensions; results demonstrate that the conventional method for predicting materials’ properties under high temperature is ineffective.
the Manufacturing Futures Institute
AI and the future of manufacturing
A panel of manufacturing experts discuss the critical role that artificial intelligence has in strengthening the U.S. economy, improving global competitiveness, elevating national security, and supporting the reliability and robustness of our supply chain.
2021 Engineering faculty award winners selected
Congratulations to the 2021 CMU Engineering Faculty Awards winners.
Holm selected as the ASM Edward DeMille Campbell Memorial Lecturer for 2021
MSE’s Liz Holm has been selected by ASM International as the ASM Edward DeMille Campbell Memorial Lecturer for 2021.
Celebrating Engineers’ Week
Carnegie Mellon University’s College of Engineering is excited to celebrate Engineers’ Week 2021.
Behind the Researcher
The College of Engineering is known for our cutting-edge research, academic rigor, and amazing students, but you might be surprised by some of the other talents of our award-winning faculty.
CMU and CCDC ARL announce new cooperative agreement
Carnegie Mellon University (CMU) and the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory (ARL) have entered into a $3.5 million cooperative agreement that supports machine learning-enabled additive manufacturing.
Holm quoted on college and career
MSE’s Liz Holm was quoted in US News on what a material engineering is and what do do with a materials engineering degree.