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MICHIGAN STATE UNIVERSITY
College of Natural Science

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Artificial intelligence and machine learning are increasingly big news. Julie Butler's research involves combining infinite fermionic systems, coupled cluster (CC) theory, and machine learning to produce a more accurate model of infinite systems. The project will attempt to speed up calculations in many-body nuclear physics simulations by strategically applying machine learning to accelerate convergence.
October 21, 2022
Physics graduate student receives prestigious DOE grant
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DOE Graduate Student Research Program, graduate students, grant award
MSU graduate student Julie Butler is the recipient of a highly competitive Department of Energy (DOE) Office of Science Graduate Student Research Program grant. Butler is one of 44 outstanding graduate students from across the nation representing 36 states in the program selected to conduct research at 12 DOE national laboratories. Butler will conduct her research on applications of machine learning to coupled cluster studies of infinite fermionic matter at Oak Ridge National Laboratory in Tennessee. 
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