246 citations · 1.8k across the 38 of their papers we have counts for
38 papers
Prediction of Nuclear Charge Density Distribution with Feedback Neural Network
Tian-Shuai Shang, Jian Li, Zhong-Ming Niu
The nuclear charge density distribution plays an important role in nuclear physics and atomic physics. As one of the most frequently used models to obtain charge density distributi…
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…
Calibration of nuclear charge density distribution by back-propagation neural networks
Zu-Xing Yang, Xiao-Hua Fan, Tomoya Naito +3
Based on the back-propagation neural networks and density functional theory, a supervised learning is performed firstly to generate the nuclear charge density distributions. The ch…
Deformed relativistic Hartree-Bogoliubov theory in continuum with a point-coupling functional. II. Examples of odd Nd isotopes
DRHBc Mass Table Collaboration, Cong Pan, Myung-Ki Cheoun +38
The aim of this work is to extend the deformed relativistic Hartree-Bogoliubov theory in continuum (DRHBc) based on the point-coupling density functionals to odd- and odd-odd nu…
Calculation of -decay half-lives with Skyrme Hartree-Fock-Bogoliubov+-QRPA and isoscalar pairing strengths optimized by a Bayesian method
Futoshi Minato, Z. M. Niu, Haozhao Liang
For radioactive nuclear data, decay is one of the most important information and is applied to various fields. However, some of the -decay data are not available due to expe…
associated production with a bottom quark pair from the Higgs boson decay in next-to-leading order QCD
Xue-An Pan, Zhong-Ming Niu, Mao Song +3
In this work, we investigate the next-to-leading order (NLO) QCD correction to associated production with a bottom quark pair from the Higgs boson decay within the nonrelativ…
Revisit prompt production in associated with Higgs Boson via gluon fusion at the LHC
Xue-An Pan, Zhong-Ming Niu, Gang Li +3
The production of charmonium associated with Higgs boson via gluon fusion has been investigated in Ref.[Phys.Rev.D66,114002(2002)], in which they considered the contribution of fin…
Measurements of Dy() at energies relevant for astrophysical process
Hao Cheng, Bao-Hua Sun, Li-Hua Zhu +20
Rare information on photodisintegration reactions of nuclei with mass numbers at astrophysical conditions impedes our understanding of the origin of -nuclei. Exp…
The description of giant dipole resonance key parameters with multitask neural networks
J. H. Bai, Z. M. Niu, B. Y. Sun +1
Giant dipole resonance (GDR) is one of the fundamental collective excitation modes in nucleus. Continuous efforts have been made to the evaluation of GDR key parameters in differen…
Deformed relativistic Hartree-Bogoliubov theory in continuum with point coupling functional: examples of even-even Nd isotopes
Kaiyuan Zhang, Myung-Ki Cheoun, Yong-Beom Choi +35
The aim of this work is to develop the deformed relativistic Hartree-Bogoliubov theory in continuum (DRHBc) theory based on the point-coupling density functionals and extend it to…
Probing invisible decay of dark photon at BESIII and future STCF via monophoton searches
Yu Zhang, Wei-Tao Zhang, Mao Song +3
We propose to search the monophoton events at the BESIII detector and future Super Tau Charm Factory to probe the sub-GeV dark photon decay into lighter dark matter. We compute the…
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…
Probing the resonance in the Dirac equation with quadruple-deformed potentials by complex momentum representation method
Zhi Fang, Min Shi, Jian-You Guo +3
Resonance plays critical roles in the formation of many physical phenomena, and many techniques have been developed for the exploration of resonance. In a recent letter [Phys. Rev.…
Probing the resonance of Dirac particle by the application of complex momentum representation
Niu Li, Min Shi, Jian-You Guo +2
Resonance plays critical roles in the formation of many physical phenomena, and several methods have been developed for the exploration of resonance. In this work, we propose a new…
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…
Self-consistent relativistic quasiparticle random-phase approximation and its applications to charge-exchange excitations and -decay half-lives
Z. M. Niu, Y. F. Niu, H. Z. Liang +2
The self-consistent quasiparticle random-phase approximation (QRPA) approach is formulated in the canonical single-nucleon basis of the relativistic Hatree-Fock-Bogoliubov (RHFB) t…
Influence of binding energies of electrons on nuclear mass predictions
Jing Tang, Zhong-Ming Niu, Jian-You Guo
Nuclear mass contains a wealth of nuclear structure information, and has been widely employed to extract the nuclear effective interactions. The known nuclear mass is usually extra…
The influence of the Coulomb exchange term on nuclear single-proton resonances
Shu-Yang Wang, Zhong-Lai Zhu, Zhong-Ming Niu
Nuclear single-proton resonances are sensitive to the Coulomb field, while the exchange term of Coulomb field is usually neglected due to its nonlocality. By combining the complex…
Nuclear -decay half-lives in the relativistic point-coupling model
Z. Y. Wang, Z. M. Niu, Y. F. Niu +1
The self-consistent proton-neutron quasiparticle random phase approximation approach is employed to calculate -decay half-lives of neutron-rich even-even nuclei with $8\leqslant…
Constraint on the cosmic age from the solar -process abundances
T. H. Heng, X. D. Xu, Z. M. Niu +2
The cosmic age is an important physical quantity in cosmology. Based on the radiometric method, a reliable lower limit of the cosmic age is derived to be Gyr by usi…
Finite-amplitude method: An extension to the covariant density functionals
Haozhao Liang, Takashi Nakatsukasa, Zhongming Niu +1
The finite-amplitude method (FAM) is one of the most promising methods for optimizing the computational performance of the random-phase approximation (RPA) calculations in deformed…