185 citations · 1.3k across the 49 of their papers we have counts for
3 papers · 1 filter
Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning
Yi-Lun Du, Kai Zhou, Jan Steinheimer +5
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 colli…
Kinetic approach to a relativistic BEC with inelastic processes
Richard Lenkiewicz, Alex Meistrenko, Hendrik van Hees +3
The phenomenon of Bose-Einstein condensation is investigated in the context of the Color-Glass-Condensate description of the initial state of ultrarelativistic heavy-ion collisions…
A machine learning study to identify spinodal clumping in high energy nuclear collisions
Jan Steinheimer, LongGang Pang, Kai Zhou +3
The coordinate and momentum space configurations of the net baryon number in heavy ion collisions that undergo spinodal decomposition, due to a first-order phase transition, are in…