R. An

activity

20182025

most citedNovel Bayesian neural network based approach for nuclear charge radii

80 citations · 338 across the 16 of their papers we have counts for

collaborators

Showing 2023Show all

3 papers · 1 filter

nucl-th2023★ 13 cited

New quantification of symmetry energy from neutron skin thicknesses of $^{48}$ Ca and $^{208}$ Pb

Rong An, Shuai Sun, Li-Gang Cao +1

Precise knowledge of the nuclear symmetry energy can be tentatively calibrated through multimessenger constraints. The neutron skin thickness of a heavy nucleus is one of the most…

nucl-th2023★ 17 cited

Improved description of nuclear charge radii: Global trends beyond $N = 28$ shell closure

Rong An, Xiang Jiang, Na Tang +2

Charge radii measured with high accuracy provide a stringent benchmark for characterizing nuclear structure phenomena. In this work, the systematic evolution of charge radii for nu…

nucl-th2023★ 31 cited

Constraining nuclear symmetry energy with the charge radii of mirror-pair nuclei

Rong An, Shuai Sun, Li-Gang Cao +1

The nuclear charge radius plays a vital role in determining the equation of state of isospin asymmetric nuclear matter. Based on the correlation between the differences in charge r…

New quantification of symmetry energy from neutron skin thicknesses of 48Ca and 208Pb

Improved description of nuclear charge radii: Global trends beyond N=28 shell closure

Constraining nuclear symmetry energy with the charge radii of mirror-pair nuclei

New quantification of symmetry energy from neutron skin thicknesses of $^{48}$ Ca and $^{208}$ Pb

Improved description of nuclear charge radii: Global trends beyond $N = 28$ shell closure