1 citations · 2 across the 10 of their papers we have counts for
10 papers
Effects of in-medium inelastic cross sections and the high-momentum tail of nucleon momentum distributions on pion production in heavy-ion collisions
Pengcheng Li, A. B. Larionov, Yongjia Wang +2
Pion production in intermediate-energy heavy-ion collisions (HICs) provides a sensitive probe of the nuclear equation of state and of the isospin dependence of reaction dynamics. I…
Machine learning the impact parameter in heavy-ion collisions at = 4 and 11 GeV: a cross-check study with UrQMD, AMPT, and JAM
Xiaoqing Yue, Guojun Wei, Yongjia Wang +7
By generating heavy-ion collision data with the ultrarelativistic quantum molecular dynamics (UrQMD) model, a multiphase transport (AMPT) model, and the JAM model, the impact param…
Effects of the centrality determination method for the equation of state and nucleonic observables from Au+Au collisions at = 2.4 GeV
Xiaoqing Yue, Pengcheng Li, Yongjia Wang +2
Centrality determination remains one of the major sources of systematic uncertainty in intermediate-energy heavy-ion collision analyses, especially for probing the nuclear equation…
Unlocking the initial neutron density distribution from the two-pion HBT correlation function in heavy-ion collisions
Pengcheng Li, Manzi Nan, Haojie Zhang +8
Revealing the neutron density distribution in the nucleus is one of the crucial tasks of nuclear physics. Within the framework of the ultrarelativistic quantum molecular dynamic mo…
Temperature dependence of the nucleon-nucleon inelastic cross section in an isospin-asymmetric nuclear medium
Manzi Nan, Pengcheng Li, Guojun Wei +3
The nucleon-nucleon () inelastic cross section plays an important role in constraining the nuclear equation of state at high baryon density and in describing the formation and…
Bayesian analysis of properties of nuclear matter with the FOPI experimental data
Guojun Wei, Manzi Nan, Pengcheng Li +4
Based on the ultra-relativistic quantum molecular dynamics (UrQMD) transport model, combined with experimental data of directed flow, elliptic flow, and nuclear stopping power meas…
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)-…
Nucleon- elastic cross section in isospin-asymmetric nuclear medium with inclusion of scalar-isovector meson field
Manzi Nan, Pengcheng Li, Wei Zuo +1
The production, dynamic evolution, and decay of particles play a crucial role in understanding the properties of high baryon density nuclear matter in intermediate-energy heavy…
Isospin-dependent in-medium nucleon-Delta elastic cross section
Manzi Nan, Pengcheng Li, Yongjia Wang +2
In heavy-ion collisions at intermediate energies, the production and propagation of particles are crucial to understanding the nuclear equation of state and inferring the prope…
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…