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• W2955397675 abstract "In this work, we performed a systematic study of the α-decay process by employing the Bayesian neural network approach. The Qα-value prediction of the ten parameter Duflo-Zuker mass model has been improved from a root-mean-square deviation relative to the experimental data σ = 0.43 MeV to σ = 0.122 MeV. This correction brought to light some missing physical aspects in the DZ mass model, so as to identify some magic numbers not present in the original model. By using a phenomenological effective model to deal with alpha decay half-lives, we were able to obtain the half-life values throughout the superheavy elements region. As a main result, we found that the region of greatest stability against the alpha-decay process for superheavy elements is between 106 ≤ Z ≤ 110 and 180 ≤ N ≤ 184." @default.
• W2955397675 created "2019-07-12" @default.
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• W2955397675 date "2019-10-04" @default.
• W2955397675 modified "2023-10-18" @default.
• W2955397675 title "Alpha half-lives calculation of superheavy nuclei with <i>Q</i> _<i>α</i>-value predictions based on the Bayesian neural network approach" @default.
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• W2955397675 doi "https://doi.org/10.1088/1361-6471/ab2c86" @default.
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