activity
20232026
most citedConstraining the Woods-Saxon potential in fusion reactions based on the neural network

15 citations · 21 across the 14 of their papers we have counts for

collaborators

14 papers

nucl-th2026

New perspective on cold fusion reactions: A microscopic description

Yinu Zhang, Bo Han, Yueping Fang +1

A microscopic framework that combines the Hartree-Fock-Bogoliubov (HFB) approach with the fusion by diffusion (FBD) model is proposed to investigate the synthesis mechanism of supe…

nucl-th2025

Determination of nuclear deformations with an emulator for sub-barrier fusion reactions

Zehong Liao, K. Hagino, Long Zhu +2

Based on the eigenvector continuation, which is mathematically an instance of the reduced basis method (RBM), we construct an emulator for coupled-channels calculations for heavy-i…

nucl-th2025

Mechanism of the quasi-elastic scattering based on the dinuclear system concept

Zehong Liao, Yu Yang, Zepeng Gao +2

A unified description of full reaction channels in low-energy heavy-ion collisions is a great challenge. Although the theoretical models based on the dinuclear system (DNS) concept…

nucl-th2025

Concentrated valence nucleons transfer in heavy-ion collisions: implications for questing the stable superheavy elements

Zepeng Gao, Yinu Zhang, Long Zhu

The multinucleon transfer process is regarded as a promising pathway for producing the stable superheavy elements. However, the underlying mechanism, especially the possible transf…

nucl-th2025

Synthesis of the superheavy elements beyond Og: extrapolating from to

Yueping Fang, Long Zhu

Theoretical predictions on the optimal reaction energies are essential for producing superheavy elements (SHEs) beyond Og. Due to the limitation of the targets, synthesizing elemen…

nucl-th2025★ 5 cited

Time-dependent random phase approximation for particle-number fluctuations and correlations in deep-inelastic collisions of Sm+Sm and Sm+Sm

Zepeng Gao, Kazuyuki Sekizawa, Long Zhu

The fluctuation-dissipation mechanism underlying non-equilibrium transport in low-energy heavy-ion reactions remains unclear. Although the time-dependent Hartree-Fock (TDHF) method…

nucl-th2024

Effects of incompressibility on the neutron-proton equilibration in Zn + Zn collisions at 35 MeV/nucleon

Erxi Xiao, Yu Yang, Yingge Huang +3

Background: The primary goal of studying isospin dynamics via heavy-ion reactions is to explore the isospin dependence of effective interactions within the nuclear equation of stat…

nucl-th2024

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…

nucl-th2024

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…

nucl-th2024

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…

nucl-th2024

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…

nucl-th2023

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…

nucl-th2023★ 1 cited

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…

nucl-th2023★ 15 cited

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…