Accelerating nuclear science with machine learning

trueCollege of Natural Science,Physics & Astronomy09/15/2023Accelerating nuclear science with machine learning

The Facility for Rare Isotope Beams, or FRIB, at Michigan State University is home to a world-unique particle accelerator designed to push the boundaries of our understanding of nature. Now, FRIB is accelerating that work with a form of artificial intelligence known as machine learning with support from the Office of Nuclear Physics and the Office of High Energy Physics at the U.S. Department of Energy Office of Science. FRIB scientists have received several grants that aim to bring machine learning’s power to process immense data sets to bear in experiments, theoretical studies and the science and engineering that keeps the accelerator humming.

The Facility for Rare Isotope Beams, or FRIB, at Michigan State University is home to a world-unique particle accelerator designed to push the boundaries of our understanding of nature.
Now, FRIB is accelerating that work with a form of artificial intelligence known as machine learning with support from the Office of Nuclear Physics, or NP, and the Office of High Energy Physics, or HEP, at the U.S. Department of Energy Office of Science, or DOE-SC.
FRIB scientists have received several grants that aim to bring machine learning’s power to process immense data sets to bear in experiments, theoretical studies and the science and engineering that keeps the accelerator humming.
The grants will be led by Christopher Wrede, Dean Lee, Peter Ostroumov, and Yue Hao. All are professors at FRIB and in MSU’s Department of Physics and Astronomy in the College of Natural Science.

Matt Davenport

New research at the Facility for Rare Isotope Beams at Michigan State University will harness the power of machine learning to accelerate nuclear science.

DOE Office of ScienceFRIBNuclear physicsPhysics and Astronomygranthigh-energy physicsmachine learning