Learning Nuclear Structure with AI: Radii and Collectivity
Hold-out ensembles based on NuCLR (Nuclear Co-Learned Representations), a multi-task model of nuclear data, are developed to study charge radii and electric-quadrupole transition strengths and error bars estimate the expected prediction accuracy across the nuclear chart.
G. Giacalone, S. Trifinopoulos, Mike Williams
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