21 citations · 42 across the 3 of their papers we have counts for
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nucl-th2018★ 15 cited
Applications of deep learning to relativistic hydrodynamics
Hengfeng Huang, Bowen Xiao, Huixin Xiong +3
In this proceeding, we will briefly review our recent progress on implementing deep learning to relativistic hydrodynamics. We will demonstrate that a successfully designed and tra…
nucl-th2018★ 21 cited
Applications of deep learning to relativistic hydrodynamics
Hengfeng Huang, Bowen Xiao, Ziming Liu +3
Relativistic hydrodynamics is a powerful tool to simulate the evolution of the quark gluon plasma (QGP) in relativistic heavy ion collisions. Using 10000 initial and final profiles…