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• W2275359478 abstract "The radial basis function (RBF) is a powerful tool to improve mass predictions of nuclear models. By combining the RBF approach with the relativistic mean-field (RMF) model, the systematic deviations between mass predictions of the RMF model and the experimental data are eliminated to a large extent and the resulting rms deviation is reduced from $2.217$ to $0.488$ MeV. Furthermore, it is found that the RBF approach has a relatively reliable extrapolative power along the distance from the $ensuremath{beta}$-stability line except for a large uncertainty around the region at magic number. From the deduced neutron separation energies, we found that the description of the nuclear shell structure and shape transition is also significantly improved by the RBF approach, thus improving agreement with the solar $r$-process abundances before $A=130$ and speeding up the $r$-matter flow. Therefore, a shorter irradiation time is enough to reproduce the solar $r$-process abundance distribution for the improved RMF mass model, which is closer to the irradiation time for those sophisticated mass models." @default.
• W2275359478 created "2016-06-24" @default.
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• W2275359478 date "2014-07-10" @default.
• W2275359478 modified "2023-10-17" @default.
• W2275359478 title "Mass predictions of the relativistic mean-field model with the radial basis function approach" @default.
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• W2275359478 doi "https://doi.org/10.1103/physrevc.90.014303" @default.
• W2275359478 hasPublicationYear "2014" @default.
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