Blar i Faculty of Mathematics and Natural Sciences på forfatter "Du, Yilun"

Viser treff 1-2 av 2

    • Identifying the nature of the QCD transition in heavy-ion collisions with deep learning 

      Du, Yilun; Zhou, Kai; Steinheimer, Jan; Pang, Long-Gang; Motornenko, Anton; Zong, Hong-Shi; Wang, Xin-Nian; Stöcker, Horst (Journal article; Peer reviewed, 2021)
      In this proceeding, we review our recent work using deep convolutional neural network (CNN) to identify the nature of the QCD transition in a hybrid modeling of heavy-ion collisions. Within this hybrid model, a viscous ...

    • Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning 

      Du, Yilun; Zhou, Kai; Steinheimer, Jan; Pang, Long-Gang; Motornenko, Anton; Zong, Hong-Shi; Wang, Xin-Nian; Stöcker, Horst (Journal article; Peer reviewed, 2020)
      Using deep convolutional neural network (CNN), the nature of the QCD transition can be identified from the final-state pion spectra from hybrid model simulations of heavy-ion collisions that combines a viscous hydrodynamic ...