119 citations · 178 across the 6 of their papers we have counts for
6 papers · 1 filter
A novel filtering method for generating desired density profiles of colliding nuclei
Xilong Xiang, Manzi Nan, Pengcheng Li +3
Accurate modeling of the density profile is essential for studying heavy-ion collisions (HICs) with a transport model. Within the framework of the quantum molecular dynamics (QMD)-…
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…
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…
Collective flows of pions in Au+Au collisions at energies 1.0 and 1.5 GeV/nucleon
Yangyang Liu, Yongjia Wang, Qingfeng Li +1
Based on the newly updated version of the ultrarelativistic quantum molecular dynamics (UrQMD) model, the pion potentials obtained from the in-medium dispersion relation of the …
The effect of Lorentz-like force on collective flows of K in Au+Au collisions at 1.5 GeV/nucleon}{The effect of Lorentz-like force on collective flows of in Au+Au collisions at 1.5 GeV/nucleon
Yushan Du, Yongjia Wang, Qingfeng Li +1
Producing kaon mesons in heavy-ion collisions at beam energies below their threshold energy is an important way to investigate the properties of dense nuclear matter. In this study…
Residue cross sections of Ti-induced fusion reactions based on the two-step model
Ling Liu, Caiwan Shen, Qingfeng Li +3
Ti-induced fusion reactions to synthesize superheavy elements are studied systematically with the two-step model developed recently, where fusion process is divided into app…