Fu-Peng Li

activity

20222026

most citedDeep-learning quasi-particle masses from QCD equation of state

23 citations · 24 across the 13 of their papers we have counts for

collaborators

Showing 2025Show all

2 papers · 1 filter

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…

nucl-th2025

Nuclear equation of state at finite $μ_{B}$ using deep learning assisted quasi-parton model

Fu-Peng Li, Long-Gang Pang, Guang-You Qin

To accurately determine the nuclear equation of state (EoS) at finite baryon chemical potential ( $μ_{B}$ ) remains a challenging yet essential goal in the study of QCD matter under ex…

Melting of heavy quarkonia in QGP using deep neural networks

Nuclear equation of state at finite μB​ using deep learning assisted quasi-parton model

Nuclear equation of state at finite $μ_{B}$ using deep learning assisted quasi-parton model