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We present a data-driven analysis of dipole strength functions across the nuclear chart, employing an artificial neural network to model and predict nuclear dipole responses. We train the network on a dataset of experimentally measured dipole strengt
Externí odkaz:
http://arxiv.org/abs/2412.02876
