The deformed relativistic Hartree-Bogoliubov theory in continuum (DRHBc) is employed to
study the ground-state properties of Kr and Sr isotopes. Based on the constrained DRHBc …

The analysis of self-consistency and proton-neutron interaction effects in the buildup of
differential charge radii were carried out in covariant density functional theoretical …

A deep neural network (DNN) has been developed to generate the distributions of nuclear
charge density, utilizing the training data from the relativistic density functional theory and …

We derive the empirical formulas expressing the mass and gravitational redshift of a neutron
star, whose central density is less than threefold the nuclear saturation density, as a function …

Based on the back-propagation neural networks and density functional theory, a supervised
learning is performed firstly to generate the nuclear charge density distributions. The charge …

The current investigation focuses on detailed analysis of the anchor-based optimization
approach (ABOA), its comparison with alternative global fitting protocols and on the global …

The extractions of nuclear charge radii from muonic atom spectroscopy for 40 Ca and 208
Pb are revisited to analyze the model dependencies induced by employing a Fermi-type …

In this study, we explore the effects of the nucleon's intrinsic electromagnetic (EM) structure
on the nuclear charge radius within the framework of relativistic continuum Hartree …

Through ensemble learning with multitasking and complex connection neural networks, we
aggregated nuclear properties, including ground-state density distributions, charge radii …

We point out that the pseudospin symmetry (PSS) of nuclei significantly depends on the
proton (Z) and neutron numbers (N), sometimes giving rise to characteristic structures. By …