[HTML][HTML] Nuclear level density from relativistic density functional theory and combinatorial method
Nuclear level density is calculated with the combinatorial method based on the relativistic
density functional theory including pairing correlations. The Strutinsky method is adopted to …
density functional theory including pairing correlations. The Strutinsky method is adopted to …
Global prediction of nuclear charge density distributions using a deep neural network
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 …
charge density, utilizing the training data from the relativistic density functional theory and …
Inference of parameters for the back-shifted Fermi gas model using a feedforward neural network
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 …
(NLD) as it can effectively reproduce experimental data by adjusting parameters. However …
[HTML][HTML] Uncertainties of nuclear level density estimated using Bayesian neural networks
X Wang, Y Cui, Y Tian, K Zhao, Y Zhang - Chinese Physics C, 2024 - csnsdoc.ihep.ac.cn
Nuclear level density (NLD) is a critical parameter for understanding nuclear reactions and
the structure of atomic nuclei; however, accurate estimation of NLD is challenging owing to …
the structure of atomic nuclei; however, accurate estimation of NLD is challenging owing to …
[HTML][HTML] Exploring the Diversity of Nuclear Density through Information Entropy
WH Ma, YG Ma - Entropy, 2024 - mdpi.com
This study explores the role of information entropy in understanding nuclear density
distributions, including both stable configurations and non-traditional structures such as …
distributions, including both stable configurations and non-traditional structures such as …
Moments of inertia of triaxial nuclei in covariant density functional theory
YM Wang, QB Chen - Nuclear Science and Techniques, 2024 - Springer
The covariant density functional theory (CDFT) and five-dimensional collective Hamiltonian
(5DCH) are used to analyze the experimental deformation parameters and moments of …
(5DCH) are used to analyze the experimental deformation parameters and moments of …
Inference of Parameters for Back-shifted Fermi Gas Model using Feedback Neural Network
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 …
(NLD) as it can effectively reproduce experimental data by adjusting parameters. However …
The breaking of spin symmetry in the single-particle resonances in deformed nuclei
ZY Zheng, SW Chen, Q Liu - Nuclear Science and Techniques, 2024 - Springer
The exploration of spin symmetry (SS) in nuclear physics has been instrumental in
identifying atomic nucleus structures. In this study, we solve the Dirac equation from the …
identifying atomic nucleus structures. In this study, we solve the Dirac equation from the …
Robustness of the octupole collectivity in within the cranking covariant density functional theory in 3D lattice
ZK Li, YY Wang - Nuclear Science and Techniques, 2024 - Springer
The octupole deformation and collectivity in octupole double-magic nucleus 144 Ba are
investigated using the Cranking covariant density functional theory in a three-dimensional …
investigated using the Cranking covariant density functional theory in a three-dimensional …
Impact of intrinsic electromagnetic structure on the nuclear charge radius in relativistic density functional theory
HH Xie, J Li - Physical Review C, 2024 - APS
In this study, the effects of the nucleon's intrinsic electromagnetic (EM) structure on the
nuclear charge radius have been explored within the framework of the relativistic Hartree …
nuclear charge radius have been explored within the framework of the relativistic Hartree …