activity
20182022
most citedApplication of machine learning in the determination of impact parameter in the Sn+Sn system

31 citations · 62 across the 2 of their papers we have counts for

collaborators

5 papers

nucl-th202231 cited

Accessing the in-medium effects on nucleon-nucleon elastic cross section with collective flows and nuclear stopping

Pengcheng Li, Yongjia Wang, Qingfeng Li +1

A systematic study of the in-medium correction factor () on nucleon-nucleon elastic cross section is performed within the Ultra-relativistic Quantum Molecular Dynamics (UrQMD) m…

nucl-th202131 cited

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…

nucl-th2020

Application of artificial intelligence in the determination of impact parameter in heavy-ion collisions at intermediate energies

Fupeng Li, Yongjia Wang, Hongliang Lü +3

The impact parameter is one of the crucial physical quantities of heavy-ion collisions (HICs), and can affect obviously many observables at the final state, such as the multifragme…

nucl-th2018

The cumulants of the baryon number from central Au+Au collision at = 1.23 GeVnucleon reveal the nuclear mean-field potentials

Yunxiao Ye, Yongjia Wang, Jan Steinheimer +6

Fluctuations of the baryon number in relativistic heavy-ion collisions are a promising observable to explore the structure of the QCD phase diagram. The cumulant ratios in heavy io…

nucl-th2018

Effects of in-medium nucleon-nucleon cross section on collective flow and nuclear stopping in heavy-ion collisions in the Fermi-energy domain

Pengcheng Li, Yongjia Wang, Qingfeng Li +2

With the newly updated version of the ultrarelativistic quantum molecular dynamics (UrQMD) model, a systematic investigation of the effects of in-medium nucleon-nucleon () elas…