6 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…
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…
Neural Network Modeling of Heavy-Quark Potential from Holography
Ou-Yang Luo, Xun Chen, Fu-Peng Li +2
Using Multi-Layer Perceptrons (MLP) and Kolmogorov-Arnold Networks (KAN), we construct a holographic model based on lattice QCD data for the heavy-quark potential in the 2+1 system…
The Potential Energy of Heavy Quarkonium in Flavor-Dependent Systems from a Holographic Model
Xi Guo, Xun Chen, Dong Xiang +2
Within the framework of the Einstein-Maxwell-Dilaton (EMD) model, which incorporates information on the equation of state and baryon number susceptibility from lattice results, we…
Role of Coulomb interaction in elastic pion-proton scattering from holography
Yu-Peng Zhang, Xun Chen, Xiao-Hua Li +1
Differential cross sections of the elastic pion-proton scattering are investigated at very small momentum transfer in a holographic QCD model, considering both the strong and Coulo…
Doubly-heavy tetraquark at finite temperature in a holographic model
Xi Guo, Jia-Jie Jiang, Xuan Liu +2
In this paper, we employ gauge/gravity duality to investigate the string breaking and melting of doubly-heavy tetraquark that includes two heavy quarks and two light antiquarks in…