19 citations · 95 across the 15 of their papers we have counts for
15 papers · 1 filter
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…
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…
Improved sd shell effective interactions from Daejeon16
Ik Jae Shin, Nadezda A. Smirnova, Andrey M. Shirokov +6
We present new microscopic effective shell-model interactions in the valence sd shell, obtained from the modern Daejeon16 nucleon-nucleon potential using no-core shell-model (NCSM)…
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…
Prediction for the synthesis cross sections of new moscovium isotopes in fusion-evaporation reactions
Peng-Hui Chen, Hao Wu, Zu-Xing Yang +2
In the framework of the dinuclear system model, the synthesis mechanism of the superheavy nuclides with atomic number in the reactions of projectiles Ca…
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…
Rare Isotope Formation in Complete Fusion and Multinucleon Transfer Reactions in Collisions of 48Ca +248Cm around Coulomb Barrier Energies
Peng-Hui Chen, Fei Niu, Xin-Xing Xu +3
Within the framework of the dinuclear system model, the reaction mechanisms for synthesizing target-like isotopes from Bk to compound nuclei Lv are thoroughly investigated in compl…
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…
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…