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Thermal properties of the $ρ$ meson from a machine-learning-improved holographic QCD model
The thermal properties of the \(ρ\) meson are revisited within the soft-wall AdS/QCD framework. The dilaton background is calibrated against lattice QCD screening-mass data through a neural-network-assisted inverse procedure. Using this calibrated background, we compute the temporal vector spectral
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