83 citations · 322 across the 19 of their papers we have counts for
20 papers
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…
Machine-learning modeling of nuclear collective observables and low-lying spectra
Dan Shi, Zu-Xing Yang, Xiao-Hua Fan +1
Potential energy surfaces and collective inertial functions are essential microscopic inputs for describing nuclear large-amplitude collective motions such as rotation, vibration,…
Exploring the nuclear momentum anisotropy based on intermediate-energy heavy-ion collisions
Xiao-Hua Fan, Zu-Xing Yang, Peng-Hui Chen +4
We simulate ultra-central collisions of prolate uranium-uranium nuclei at intermediate energies using the isospin-dependent Boltzmann-Uehling-Uhlenbeck model to investigate the imp…
Cross-checking the geometric effects in heavy-ion collisions at 1 GeV/nucleon
Zu-Xing Yang, Xiao-Hua Fan, Zhi-Pan Li +1
Employing the isospin-dependent Boltzmann-Uehling-Uhlenbeck transport model, the 1 GeV/nucleon deformed uranium-uranium ultra-central collisions are simulated. Based on sensitive o…
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\…
A Data-Driven Density Functional Model for Nuclear Systems
Zu-Xing Yang, Xiao-Hua Fan, Zhi-Pan Li +1
Through ensemble learning with multitasking and complex connection neural networks, we aggregated nuclear properties, including ground state charge radii, binding energies, and sin…
Impact of quadrupole deformation on intermediate-energy heavy-ion collisions
Xiao-Hua Fan, Zu-Xing Yang, Peng-Hui Chen +2
This study employs the isospin-dependent Boltzmann-Uehling-Uhlenbeck model to simulate intermediate-energy heavy-ion collisions between prolate nuclei Mg. The emphasis is on…
A Neural Network Approach for Orienting Heavy-Ion Collision Events
Zu-Xing Yang, Xiao-Hua Fan, Zhi-Pan Li +1
A convolutional neural network-based classifier is elaborated to retrace the initial orientation of deformed nucleus-nucleus collisions by integrating multiple typical experimental…
A Kohn-Sham Scheme Based Neural Network for Nuclear Systems
Zu-Xing Yang, Xiao-Hua Fan, Zhi-Pan Li +1
A Kohn-Sham scheme based multi-task neural network is elaborated for the supervised learning of nuclear shell evolution. The training set is composed of the single-particle wave fu…
A local-density-approximation description of high-momentum tails in isospin asymmetric nuclei
Xiao-Hua Fan, Zu-Xing Yang, Peng Yin +4
We adapt the local density approximation to add the high-momentum tails (HMTs) to finite nuclei's Slater-determinant momentum distributions. The HMTs are extracted by the extended…
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…
Taming nucleon density distributions with deep neural network method
Zu-Xing Yang, Wei Zuo, Peng Yin +1
We investigate the density distributions of finite nuclei employing a well-designed deep neural network method. We calculate the target nucleon density distributions with Skyrme de…
Initialization effects of nucleon profile on the yields in heavy-ion collisions at medium energies
Zu-Xing Yang, Nicolas Michel, Xiao-Hua Fan +1
We study a problem of production in heavy ion collisions in the context of the Isospin-dependent Boltzmann-Uehling-Uhlenbeck (IBUU) transport model. We generated nucleon densit…
Neutron-proton pairing in Nuclear Matter
Xiao-Hua Fan, Xin-le Shang, Jian-Min Dong +1
The self-energy effect on the neutron-proton (np) pairing gap is investigated up to the third order within the framework of the extend Bruecker-Hartree-Fock (BHF) approach combined…
Probing nuclear bubble configuration by proton induced reaction
Xiao-Hua Fan, Gao-Chan Yong, Wei Zuo
In the framework of the isospin-dependent Boltzmann-Uehling-Uhlenbeck transport model, nuclear bubble configuration in the hypothetical Si nucleus is studied by proton induc…
Effects of the initialization of nucleon momentum in heavy-ion collisions at medium energies
Zu-Xing Yang, Xiao-Hua Fan, Gao-Chan Yong +1
Based on the Isospin-dependent transport model Boltzmann-Uehling-Uhlenbeck (IBUU), effects of the difference of the high momentum tails (HMTs) of nucleon momentum distribution in c…
Probing the density dependence of the symmetry energy by nucleon flow
Xiao-Hua Fan, Gao-Chan Yong, Wei Zuo
In the framework of the isospin-dependent Boltzmann-Uehling-Uhlenbeck transport model, sensitive regions of some nucleon observables to the nuclear symmetry energy are studied. It…
Symmetry energy at subsaturation densities and the neutron skin thickness of 208Pb
Xiaohua Fan, Jianmin Dong, Wei Zuo
The mass-dependent symmetry energy coefficients has been extracted by analysing the heavy nuclear mass differences reducing the uncertainties as far as possible in our…
Density-dependent symmetry energy at subsaturation densities from nuclear mass differences
Xiaohua Fan, Jianmin Dong, Wei Zuo
We extract the mass-dependent symmetry energy coefficients with the nuclear mass differences reducing the uncertainties as far as possible. The estimated $a_{…