109 citations · 304 across the 6 of their papers we have counts for
8 papers
Construction of Nuclear Covariant Energy Density Functional from A Physics-Guaranteed Neural Network Approach
W. F. Li, Z. M. Niu, H. Z. Liang +2
Density functional theory is a practical approach for solving quantum many-body problems with available computational resources. The complexity of the nuclear force makes construct…
Nuclear mass predictions with machine learning reaching the accuracy required by -process studies
Z. M. Niu, H. Z. Liang
Nuclear masses are predicted with the Bayesian neural networks by learning the mass surface of even-even nuclei and the correlation energies to their neighbouring nuclei. By keepin…
Gamow-Teller transitions from high-spin isomers in nuclei
H. Z. Liang, H. Sagawa, M. Sasano +2
Gamow-Teller (GT) transitions from high-spin isomers are studied using the sum-rule approach and the shell model. The GT transition strengths from the high-spin isomeric states sho…
Improved radial basis function approach with the odd-even corrections
Z. M. Niu, B. H. Sun, H. Z. Liang +2
The radial basis function (RBF) approach has been used to improve the mass predictions of nuclear models. However, systematic deviations exist between the improved masses and the e…
Three-dimensional mesh calculations for covariant density functional theory
Y. Tanimura, K. Hagino, H. Z. Liang
In contrast to the non-relativistic approaches, three-dimensional (3D) mesh calculations for the {\it relativistic} density functional theory have not been realized because of the…
-decay half-lives of neutron-rich nuclei and matter flow in the -process
Z. M. Niu, Y. F. Niu, H. Z. Liang +4
The -decay half-lives of neutron-rich nuclei with are systematically investigated using the newly developed fully self-consistent proton-neutron qu…