115 citations · 435 across the 51 of their papers we have counts for
11 papers · 1 filter
Data-Driven Refinement of an Analytical Holographic Model for the QCD Phase Transition
Xun Chen, Floriana Giannuzzi, Stefano Nicotri
Using (2+1)-flavor lattice QCD data, we refine the parameters of an analytical holographic model via gradient descent optimization to precisely locate the critical endpoint in the…
Complexity Growth in Flavor-Dependent Systems
Wen-Bin Chang, Xun Chen, Defu Hou
In this work, we investigate holographic complexity growth in a flavor-dependent Einstein-Maxwell-Dilaton (EMD) model, where the parameters are determined through machine learning…
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…
Data-Driven Einstein-Dilaton Model for Pure Yang-Mills Thermodynamics and Glueball Spectrum
Xun Chen, Yidian Chen, Kai Zhou
We develop a machine learning assisted holographic model that consistently describes both the equation of state and glueball spectrum of pure Yang-Mills theory, achieved through ne…
Chaos in the holographic matrix models for meson and baryon
Si-wen Li, Xun Chen
In recent years, the investigation of chaos has become a bridge connecting gravity theory and quantum field theory, especially within the framework of gauge-gravity duality. In thi…