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Data · dataset · 2026

Charge Density Distributions for Nuclei with Z ≥ 8

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A deep neural network (DNN) has been developed to accurately predict nuclear charge density distributions for nuclei with proton numbers Z ≥ 8.

Description

The charge density distributions are analyzed using a Fourier-Bessel (FB) series expansion, and the DNN is trained on a comprehensive dataset derived from relativistic continuum Hartree-Bogoliubov (RCHB) theory calculations. The DNN was used to predict 3446 nuclei listed in AME2020 with Z ≥ 8.

The dataset includes all numerical outputs from the DNN, such as the FB coefficients, as well as derived quantities including charge radii, second moment, fourth moment, and sixth moment.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Nuclear and plasma physics 69%
Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.2847912 d agoJSON v1
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