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What is Predicting Nuclear Binding and Beta Decay Energy about?

This study employs a Deep Neural Network (DNN) to predict the ground state binding energy and beta decay energy of various atomic nuclei using 3560 experimental data sets. The model utilizes neutron and proton numbers, pairing terms, magic numbers, asymmetry, and promiscuity factors as input parameters, achieving predictions that align well with experimental results. The findings suggest that DNN is a promising tool for exploring nuclear properties and can effectively predict energies across the nuclear lan

Author

animesh Kumar

Language

EN