most citedDetermining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural network

19 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

nucl-th2021★ 19 cited

Determining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural network

X. Zhang, Y. Huang, W. Lin +18

A deep learning based method with the convolutional neural network (CNN) algorithm for determining the impact parameters is developed using the constrained molecular dynamics model…

nucl-th2021★ 3 cited

Investigation of the nuclear liquid-gas phase transition in the static AMD

W. Lin, P. Ren, X. Liu +4

Nuclear liquid-gas phase transitions are investigated in the framework of static antisymmetrized molecular dynamics (static AMD) model under either a constant volume or a constant…

physics.ins-det2021

A simulation study of a windowless gas stripping room in an E//B neutral particle analyzer

Yuan Luo, Wei-Ping Lin, Pei-Pei Ren +9

Neutral Particle Analyzer (NPA) is one of the crucial diagnostic devices on Tokamak facilities. Stripping unit is one of the main parts of the NPA. A windowless gas stripping room…

nucl-th2018★ 13 cited

Sensitivity study of experimental measures for the nuclear liquid-gas phase transition in the statistical multifragmentation model

W. Lin, P. Ren, H. Zheng +4

The experimental measures of the multiplicity derivatives, the moment parameters, the bimodal parameter, the fluctuation of maximum fragment charge number (NVZ), the Fisher exponen…

nucl-ex2018★ 6 cited

Statistical analysis of experimental multifragmentation events in Zn + Sn at 40 MeV/nucleon

W. Lin, H. Zheng, P. Ren +7

A statistical multifragmentation model (SMM) is applied to the experimentally observed multifragmentation events in an intermediate heavy ion reaction.Using the temperature and sym…