activity
20182026
most citedTaming nucleon density distributions with deep neural network method

19 citations · 95 across the 15 of their papers we have counts for

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2 papers · 1 filter

nucl-th2024

Exploring the nuclear momentum anisotropy based on intermediate-energy heavy-ion collisions

Xiao-Hua Fan, Zu-Xing Yang, Peng-Hui Chen +4

We simulate ultra-central collisions of prolate uranium-uranium nuclei at intermediate energies using the isospin-dependent Boltzmann-Uehling-Uhlenbeck model to investigate the imp…

nucl-th2024

Cross-checking the geometric effects in heavy-ion collisions at 1 GeV/nucleon

Zu-Xing Yang, Xiao-Hua Fan, Zhi-Pan Li +1

Employing the isospin-dependent Boltzmann-Uehling-Uhlenbeck transport model, the 1 GeV/nucleon deformed uranium-uranium ultra-central collisions are simulated. Based on sensitive o…