119 citations · 177 across the 12 of their papers we have counts for
12 papers
New insight into the N/Z and mass equilibration in heavy-ion collisions
Yu Yang, Zehong Liao, Zepeng Gao +3
The dynamics of N/Z and mass equilibration are investigated in the reactions 112,124Sn + 239Pu by employing the isospin-dependent quantum molecular dynamics model. It is found that…
Quantifying angular distributions in multinucleon transfer reactions with a semi-classical method
Zehong Liao, Zepeng Gao, Yu Yang +3
The multinucleon transfer (MNT) process in low-energy heavy ion collisions can be utilized to produce unknown nuclei far beyond the stability line. However, the reaction products e…
Bayesian uncertainty quantification for synthesizing superheavy elements
Yueping Fang, Zepeng Gao, Yinu Zhang +4
To improve the theoretical prediction power for synthesizing superheavy elements beyond Og, a Bayesian uncertainty quantification method is employed to evaluate the uncertainty of…
Shell effects on the drift and fluctuation in multinucleon transfer reactions
Zehong Liao, Zepeng Gao, Yu Yang +2
This study employs the dinuclear system model (DNS-sysu) to investigate drift and fluctuation mechanisms in 136Xe + 209Bi collisions above the Coulomb barrier. The DNS-sysu model d…
Role of the isospin diffusion on cluster transfer in C + Bi reactions
Zepeng Gao, Yinu Zhang, Long Zhu +4
Heavy-ion collisions at near-barrier energies provide a crucial pathway for investigating nucleon correlations and clustering structures. Recent experimental results showed that th…
Importance of physical information on the prediction of heavy-ion fusion cross section with machine learning
Zhilong Li, Zepeng Gao, Ling Liu +3
In this work, the Light Gradient Boosting Machine (LightGBM), which is a modern decision tree based machine-learning algorithm, is used to study the fusion cross section (CS) of he…
Constraining the Woods-Saxon potential in fusion reactions based on the neural network
Zepeng Gao, Siyu Liu, Peiwei Wen +5
The accurate determination of the nuclear interaction potential is essential for predicting the fusion cross sections and understanding the reaction mechanism, which plays an impor…
The optimal detection angles for producing N=126 neutron-rich isotones in the multinucleon transfer reactions
Zehong Liao, Long Zhu, Zepeng Gao +2
The challenge of isotopic identification over a wide angular distribution has limited the measurement of neutron-rich nuclei produced via the multinucleon transfer (MNT) process. T…
Elliptic flow in heavy-ion collisions at intermediate energy: the role of impact parameter, mean field potential, and collision term
Bo Gao, Yongjia Wang, Zepeng Gao +1
Within the ultrarelativistic quantum molecular dynamics (UrQMD) model, by reverse tracing nucleons that are finally emitted at mid-rapidity (|| < 0.1) in the entire reaction p…
Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning
Yongjia Wang, Zepeng Gao, Hongliang Lü +1
Inferences of the nuclear symmetry energy from heavy-ion collisions are currently based on the comparison of measured observables and transport model simulations. Only the expectat…
Application of machine learning in the determination of impact parameter in the Sn+Sn system
Fupeng Li, Yongjia Wang, Zepeng Gao +5
Background: Sn+Sn collisions at the beam energy of 270 MeVnucleon have been performed at the Radioactive Isotope Beam Factory (RIBF) in RIKEN to investigate the…
Machine learning the nuclear mass
Zepeng Gao, Yongjia Wang, Hongliang Lü +3
Background: The masses of about 2500 nuclei have been measured experimentally, however more than 7000 isotopes are predicted to exist in the nuclear landscape from H (Z=1) to Og (Z…