2026-10-14T16:42:17Z https://www.scidb.cn/oai

10.57760/sciencedb.28479 2026-04-21T13:19:36Z

2026-04-21 Charge Density Distributions for Nuclei with Z ≥ 8 doi:10.57760/sciencedb.28479 en A deep neural network (DNN) has been developed to accurately predict nuclear charge density distributions for nuclei with proton numbers Z ≥ 8. 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. Nuclear charge density distribution; Nuclear charge radii; Nuclear charge high-order moment; Deep neural network; Fourier-Bessel series expansion 王云东 尚天帅 谢辉辉 杜鹏祥 李剑 梁豪兆 PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1007/s41365-026-01905-6 Science Data Bank