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Chris Wolverton is the Frank C. Engelhart Professor in Materials Science and Engineering at Northwestern University. His research primarily focuses on computational materials science, utilizing first-principles quantum mechanical simulation tools. His work aims to predict properties of materials that are yet to be synthesized, promoting an understanding of materials informatics through machine learning techniques. Current research interests include the discovery of materials for alternative energy solutions, such as hydrogen storage, batteries, and thermoelectrics. He is actively involved in developing methodologies that connect atomistic and microstructural length scales to enhance material design and discovery. Wolverton has published extensively and has received multiple awards for his contributions to the field, including the Ford Motor Company Technical Achievement Award and the USCAR Recognition Award.
Northwestern University • Evanston, IL
Professor in the Department of Materials Science and Engineering, focusing on research and education in computational materials science.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.