Applications of machine learning at FRIB
ORAL · Invited
Abstract
At the Facility for Rare Isotope Beams, machine-learning techniques are finding increased applications in accelerator science and engineering, low-energy nuclear physics experiments, and nuclear theory. We highlight selected efforts in these areas.
* We gratefully acknowledge support from the U.S. Department of Energy Office of Science and the U.S. National Science Foundation.
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Presenters
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Christopher L Wrede
Michigan State University
Authors
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Christopher L Wrede
Michigan State University