Nonempirical shape dynamics of heavy nuclei with multitask deep learning
N. Hizawa,
K. Hagino
Abstract:A microscopic description of nuclear fission represents one of the most challenging problems in nuclear theory. While phenomenological coordinates, such as multipole moments, have often been employed to describe fission, it is not obvious whether these parameters fully reflect the shape dynamics of interest. We here propose a novel method to extract collective coordinates, which are free from phenomenology, based on multitask deep learning in conjunction with density functional theory (DFT). To this end, we fi… Show more
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