54 citations · 92 across the 2 of their papers we have counts for
3 papers
hep-ph2021★ 38 cited
Machine-learning-based identification for initial clustering structure in relativistic heavy-ion collisions
Junjie He, Wan-Bing He, Yu-Gang Ma +1
-clustering structure is a significant topic in light nuclei. A Bayesian convolutional neural network (BCNN) is applied to classify initial non-clustered and clustered configura…
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-th2018
Collective flows of O + O collisions with -clustering configurations
Chen-Chen Guo, Wan-Bing He, Yu-Gang Ma
The main purpose of the present paper is to discuss whether or not the collective flows in heavy-ion collision at Fermi energy can be taken as a tool to investigate the cluster con…