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Melting of heavy quarkonia in QGP using deep neural networks

Mohammad Yousuf Jamal1,*, Fu-Peng Li1,2,3,4,†, Long-Gang Pang1,2,‡, and Guang-You Qin1,2,§

  • 1Key Laboratory of Quark and Lepton Physics (MOE) & Institute of Particle Physics, Central China Normal University, Wuhan 430079, China
  • 2Artificial Intelligence and Computational Physics Research Center, Central China Normal University, Wuhan 430079, China
  • 3Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) & Institute of Modern Physics, Fudan University, Shanghai 200433, China
  • 4Shanghai Research Center for Theoretical Nuclear Physics, NSFC and Fudan University, Shanghai 200438, China

  • *Contact author: yousufjml5@gmail.com
  • †Contact author: fpli@fudan.edu.cn
  • ‡Contact author: lgpang@ccnu.edu.cn
  • §Contact author: guangyou.qin@ccnu.edu.cn

Memory effect on heavy quark dynamics in hot QCD matter

Jai Prakash, Ling Hai Li, Ying Shan Zhao, and Yifeng Sun

Phys. Rev. D 114 014033 (2026)

Thermodynamic and transport properties of the quark-gluon plasma at finite chemical potential with a deep neural network framework

Rishabh Kumar Tiwari, Kangkan Goswami, Suraj Prasad, Captain R. Singh, Raghunath Sahoo, and Mohammad Yousuf Jamal

Phys. Rev. D 114 074015 (2026)

Medium-induced quarkonium dissociation at finite chemical potential and in a weak magnetic field

Indrani Nilima, Mujeeb Hasan, Mohammad Yousuf Jamal, Salman Ahamad Khan, and B. K. Singh

Phys. Rev. D 113 074035 (2026)

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