246 citations · 1.8k across the 38 of their papers we have counts for
4 papers · 1 filter
Predictions of nuclear -decay half-lives with machine learning and their impacts on process
Z. M. Niu, H. Z. Liang, B. H. Sun +2
Nuclear decay is a key process to understand the origin of heavy elements in the universe, while the accuracy is far from satisfactory for the predictions of -decay half-liv…
High precision nuclear mass predictions towards a hundred kilo-electron-volt accuracy
Zhongming Niu, Haozhao Liang, Baohua Sun +3
Mass is a fundamental property and an important fingerprint of atomic nucleus. It provides an extremely useful test ground for nuclear models and is crucial to understand energy ge…
Combination of complex momentum representation and Green's function methods in relativistic mean-field theory
Min Shi, Zhong-Ming Niu, Haozhao Liang
We have combined the complex momentum representation method with the Green's function method in the relativistic mean-field framework to establish the RMF-CMR-GF approach. This new…
Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects
Z. M. Niu, H. Z. Liang
Bayesian neural network (BNN) approach is employed to improve the nuclear mass predictions of various models. It is found that the noise error in the likelihood function plays an i…