31 citations · 66 across the 4 of their papers we have counts for
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nucl-th2021★ 1 cited
Finding signatures of the nuclear symmetry energy in heavy-ion collisions with deep learning
Yongjia Wang, Fupeng Li, Qingfeng Li +2
A deep convolutional neural network (CNN) is developed to study symmetry energy effects by learning the mapping between the symmetry energy and the two-dimensional…
nucl-th2021★ 31 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★ 31 cited
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…