26 papers · 1 filter
Critical behavior and critical exponents of rotating QCD matter
Kai Xiao, Fei Sun, Shuang Li +1
We investigate the thermodynamic properties and critical behavior of rotating strongly interacting matter within the two-flavor Nambu--Jona-Lasinio (NJL) model in the mean-field ap…
Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model
Yu Zhang, Xun Chen, Miguel Angel Martin Contreras
We present a data-driven inverse construction of the dilaton field in a bottom-up AdS/QCD description of heavy vector quarkonia. Instead of adopting an \emph{ad hoc} analytic ansat…
Discovering the Gell-Mann-Okubo Formula with Kolmogorov-Arnold Networks
Jian-Yao He, Xun Chen, Xiao-Yan Zhu +1
Uncovering physical laws from experimental data is a fundamental goal of theoretical physics. In this work, we apply the spline-based, interpretable Kolmogorov-Arnold Network (KAN)…
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…
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…
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…