4 papers
Extracting Transport Properties of Quark-Gluon Plasma from the Heavy-Quark Potential With Neural Networks in a Holographic Model
Wen-Chao Dai, Ou-Yang Luo, Bing Chen +3
Using Kolmogorov-Arnold Networks (KANs), we construct a holographic model informed by lattice QCD data. This neural network approach enables the derivation of an analytical solutio…
The influence of Wilson lines on heavy quark anti-quark potential and mass
Bing Chen, Xun Chen, Mitsutoshi Fujita +1
The holographic heavy quark potential is investigated via holographic Wilson loops in the AdS soliton with gauge potential. We analyze two types of holographic Wilson loops. {In th…
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…
Exploring Transport Properties of Quark-Gluon Plasma in Flavor-Dependent Systems with a Holographic Model
Bing Chen, Xun Chen, Xiaohua Li +2
Based on the holographic model, which incorporates the equation of state (EoS) and baryon number susceptibility for different flavors, we calculate the drag force, jet quenching pa…