80 citations · 159 across the 4 of their papers we have counts for
4 papers
Nuclear binding energies in artificial neural networks
Lin-Xing Zeng, Yu-Ying Yin, Xiao-Xu Dong +1
The binding energy (BE) or mass is one of the most fundamental properties of an atomic nucleus. Precise binding energies are vital inputs for many nuclear physics and nuclear astro…
Nuclear charge radii in Bayesian neural networks revisited
Xiao-Xu Dong, Rong An, Jun-Xu Lu +1
In this work, a refined Bayesian neural network (BNN) based approach with six inputs including the proton number, mass number, and engineered features associated with the pairing e…
Local variations of charge radii for nuclei with even from 84 to 120
Rong An, Xiao-Xu Dong, Li-Gang Cao +1
Pronounced changes of nuclear charge radii provide a stringent benchmark on the theoretical models and play a vital role in recognizing various nuclear phenomena. In this work, the…
Novel Bayesian neural network based approach for nuclear charge radii
Xiao-Xu Dong, Rong An, Jun-Xu Lu +1
Charge radius is one of the most fundamental properties of a nucleus. However, a precise description of the evolution of charge radii along an isotopic chain is highly nontrivial,…