Monte Carlo dropout Bayesian neural network predicts nuclear charge radii for Z≥20, A≥40 nuclei using inputs that encode pairing, isospin asymmetry, valence nucleon correlations, β20 deformations from FRDM/RMF/WS, shape staggering, and modified Casten factor for shell quenching.
Duflo, Phenomenological calculation for nuclear masses and charg e radii
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Input-driven analysis in predicting nuclear charge radii using Monte Carlo dropout Bayesian neural network
Monte Carlo dropout Bayesian neural network predicts nuclear charge radii for Z≥20, A≥40 nuclei using inputs that encode pairing, isospin asymmetry, valence nucleon correlations, β20 deformations from FRDM/RMF/WS, shape staggering, and modified Casten factor for shell quenching.