activity
20202025
most citedNuclear liquid-gas phase transition with machine learning

54 citations · 250 across the 12 of their papers we have counts for

collaborators

11 papers

nucl-th2025★ 2 cited

Constraining neutron-proton effective mass splitting through nuclear giant dipole resonance within transport approach

Yi-Dan Song, Min-Si Luo, Rui Wang +2

Based on the Boltzmann-Uehling-Uhlenbeck equation, we investigate the effects of the isovector nucleon effective mass and the in-medium nucleon-nucleon cross section $σ…

nucl-th2025★ 1 cited

Alpha clustering in warm and dense nuclear matter from heavy-ion collisions

Rui Wang, Zhen Zhang, Yu-Gang Ma +3

Although light nuclear clusters are known to affect the properties of warm and dilute nuclear matter, their role in warm and dense nuclear matter remains unclear due to the lack of…

nucl-th2023★ 53 cited

Phase Transition Study meets Machine Learning

Yu-Gang Ma, Long-Gang Pang, Rui Wang +1

In recent years, machine learning (ML) techniques have emerged as powerful tools for studying many-body complex systems, and encompassing phase transitions in various domains of ph…

nucl-th2023★ 36 cited

Kinetic approach of light-nuclei production in intermediate-energy heavy-ion collisions

Rui Wang, Yu-Gang Ma, Lie-Wen Chen +3

We develop a kinetic approach to the production of light nuclei up to mass number in intermediate-energy heavy-ion collisions by including them as dynamic degre…

hep-ph2023★ 1 cited

High energy nuclear physics meets Machine Learning

Wan-Bing He, Yu-Gang Ma, Long-Gang Pang +2

Though being seemingly disparate and with relatively new intersection, high energy nuclear physics and machine learning have already begun to merge and yield interesting results du…

nucl-th2022★ 2 cited

Unveiling the dynamics of nucleosynthesis in relativistic heavy-ion collisions

Kai-Jia Sun, Rui Wang, Che Ming Ko +2

Like nucleosynthesis during the early universe, light nuclei are also produced in relativistic heavy-ion collisions. Although the deuteron () yields in these collisions can be w…

nucl-th2021★ 14 cited

Short range correlations in the extended quantum molecular dynamics model

Lei Shen, Bo-Son Huang, Yu-Gang Ma

Short-range potential has been added into an extended quantum molecular dynamics (EQMD) model. The RMS radius, binding energy and momentum distribution of C with different i…

nucl-th2021★ 11 cited

Nuclear giant quadruple resonance within transport approach and its constraint on nucleon effective mass

Yi-Dan Song, Rui Wang, Zhen Zhang +1

We study the nuclear iso-scalar giant quadruple resonance~(ISGQR) based on the Boltzmann-Uehling-Uhlenbeck~(BUU) transport equation. The mean-field part of the BUU equation is desc…

nucl-th2021★ 6 cited

Relativistic kinetic approach to light nuclei production in high-energy nuclear collisions

Kai-Jia Sun, Rui Wang, Che Ming Ko +2

Understanding the production mechanism of light (anti-)nuclei in high-energy nuclear collisions and cosmic rays has been a long-standing problem in nuclear physics. In the present…

nucl-th2020★ 54 cited

Nuclear liquid-gas phase transition with machine learning

Rui Wang, Yu-Gang Ma, R. Wada +4

The machine-learning techniques have shown their capability for studying phase transitions in condensed matter physics. Here, we employ the machine-learning techniques to study the…

nucl-th2020★ 16 cited

Nuclear collective dynamics in transport model with the lattice Hamiltonian method

Rui Wang, Zhen Zhang, Lie-Wen Chen +1

We review the recent progress on studying the nuclear collective dynamics by solving the Boltzmann-Uehling-Uhlenbeck (BUU) equation with the lattice Hamiltonian method treating the…