5 papers
Neural-Network Holographic Model of the QCD Phase Transition under Lattice and HRG Constraints
De-Xing Zhu, Li-Qiang Zhu, Xun Chen +2
Within a neural-network-based holographic framework, we incorporate lattice QCD (LQCD) and Hadron Resonance Gas (HRG) data to train the model and predict the location of the QCD cr…
Thermodynamics of Heavy Quarkonium in a Bayesian Holographic QCD model
Liqiang Zhu, Ou-Yang Luo, Xun Chen +3
Leveraging high-precision lattice QCD data on the equation of state and baryon number susceptibility at vanishing chemical potential, we construct a Bayesian holographic QCD model…
Transport Properties of QGP within a Bayesian Holographic QCD Model
Bing Chen, Liqiang Zhu, Xun Chen +2
Using a holographic QCD model augmented by Bayesian inference, we calculate key transport coefficients of the quark-gluon plasma (QGP)including the drag force, jet quench…
Bayesian inference of the magnetic field and chemical potential on holographic jet quenching in heavy-ion collisions
Liqiang Zhu, Zhan Gao, Weiyao Ke +1
Jet quenching is studied in a background magnetic field and a finite baryon chemical potential. The production of energetic partons is calculated using the next-to-leading order (N…
Bayesian Inference of the Critical Endpoint in 2+1-Flavor System from Holographic QCD
Liqiang Zhu, Xun Chen, Kai Zhou +2
We present a Bayesian holographic model constructed by integrating the equation of state and baryon number susceptibility at zero chemical potential from lattice QCD. The model inc…