most citedMelting of heavy quarkonia in QGP using deep neural networks

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hep-ph2026

Unbiased Data-Driven Determination of the Nuclear Dipole Amplitude in the Color Glass Condensate

Si-Wei Dai, Haowu Duan, Long-Gang Pang +4

Gluon saturation limits the growth of parton densities at small Bjorken- and is expected to be most pronounced in heavy nuclei. Yet quantitative extractions of the nuclear gluon…

hep-ph2026

Physics-Informed Global Extraction of the Universal Small- Dipole Amplitude

Si-Wei Dai, Fu-Peng Li, Long-Gang Pang +4

We extract the universal small- dipole scattering amplitude from a global analysis based on a physics-informed neural network (PINN), without imposing a priori MV-typ…

hep-ph2025★ 1 cited

Melting of heavy quarkonia in QGP using deep neural networks

Mohammad Yousuf Jamal, Fu-Peng Li, Long-Gang Pang +1

Machine learning techniques have emerged as powerful tools for tackling non-perturbative challenges in quantum chromodynamics. In this study, we introduce a data-driven framework e…