83 citations · 125 across the 11 of their papers we have counts for
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Nuclear mass table in deformed relativistic Hartree-Bogoliubov theory in continuum, III: nuclei with
DRHBc Mass Table Collaboration, Peng Guo, Xiaojie Cao +90
The mass table in the deformed relativistic Hartree-Bogoliubov theory in continuum (DRHBc) with the PC-PK1 density functional has been established for nuclei with $8 \leq Z \leq 12…
Impact of Nuclear Level Density on -Process Rare-Earth Peak Nucleosynthesis
Hang Xu, Peng-Xiang Du, Jian Li +1
The rare-earth peak () is a prominent feature of the -process, and previous theoretical studies suggest that it is possibly linked to local nuclear structural effects.…
Microscopic Statistical Calculation of Nuclear Level Density Based on Relativistic Density Functional Theory
Zi-Cheng Wang, Peng-Xiang Du, Jian Li +2
A microscopic statistical model based on the relativistic density functional theory (RDFT) is developed to calculate the nuclear level density (NLD). The approach employs self-cons…
Microscopic Study of Charge Properties in Halo Nuclei
Yun Dong Wang, Hui Hui Xie, Tian Shuai Shang +3
Employing the relativistic continuum Hartree-Bogoliubov (RCHB) theory with intrinsic electromagnetic structure corrections, this work primarily investigates the charge properties o…
Nuclear level densities in the relativistic Hartree-Bogoliubov plus combinatorial framework
Pengxiang Du, Jian Li
A systematic study of nuclear level densities has been carried out within the relativistic Hartree-Bogoliubov plus combinatorial framework. Calculations were performed for even-eve…
Predictions of charge density distributions for nuclei with
Yun Dong Wang, Tian Shuai Shang, Hui Hui Xie +3
A deep neural network (DNN) has been developed to accurately predict nuclear charge density distributions for nuclei with proton numbers . By incorporating essential nucl…
Bridging Theory and Data: Correcting Nuclear Mass Models with Interpretable Machine Learning
Yanhua Lu, Tianshuai Shang, Pengxiang Du +2
Nuclear mass prediction is one of the core issues in nuclear physics research, yet it faces the challenge of small-sample datasets with high complexity. This study introduces the K…
Nuclear mass predictions based on convolutional neural network
Yanhua Lu, Tianshuai Shang, Pengxiang Du +3
A convolutional neural network (CNN) is employed to investigate nuclear mass. By introducing the masses of neighboring nuclei and the paring effects at the input layer of the netwo…
Nuclear mass table in deformed relativistic Hartree-Bogoliubov theory in continuum, II: Even- nuclei
DRHBc Mass Table Collaboration, Peng Guo, Xiaojie Cao +80
The mass table in the deformed relativistic Hartree-Bogoliubov theory in continuum (DRHBc) with the PC-PK1 density functional has been established for even- nuclei with $8\le Z\…
Inference of Parameters for Back-shifted Fermi Gas Model using Feedback Neural Network
Peng-Xiang Du, Tian-Shuai Shang, Kun-Peng Geng +2
The back-shifted Fermi gas model is widely employed for calculating nuclear level density (NLD) as it can effectively reproduce experimental data by adjusting parameters. However,…
Calculation of microscopic nuclear level densities based on covariant density functional theory
Kun-Peng Geng, Peng-Xiang Du, Jian Li +1
A microscopic method for calculating nuclear level density (NLD) based on the covariant density functional theory (CDFT) is developed. The particle-hole state density is calculated…