2 papers
nucl-th2018
Universal scaling of the sigma field and net-protons from Langevin dynamics of model A
Shanjin Wu, Zeming Wu, Huichao Song
In this paper, we investigate the Kibble-Zurek scaling of the sigma field and net-protons within the framework of Langevin dynamics of model A. After determining the characteristic…
nucl-th2018
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…