Published in , 2025
Publications
Deep-learning quasi-particle masses from QCD equation of state
Published in Physics Letters B, 2023
This paper is about pinn in QCD EOS.
Recommended citation: Fu-Peng Li, Hong-Liang Lü, Long-Gang Pang, Guang-You Qin. "Deep-learning quasi-particle masses from QCD equation of state." Phys. Lett. B. 844,138088 (2023). https://www.sciencedirect.com/science/article/pii/S0370269323004227
Finding signatures of the nuclear symmetry energy in heavy-ion collisions with deep learning
Published in Physics Letters B, 2021
This paper is about the DL in HICs.
Recommended citation: Yongjia Wang, Fu-Peng Li, Qingfeng Li, Hong-Liang Lü, Kai Zhou. "Finding signatures of the nuclear symmetry energy in heavy-ion collisions with deep learning." Phys. Lett. B. 822,136669 (2021). https://www.sciencedirect.com/science/article/pii/S0370269321006092
Application of machine learning in the determination of impact parameter in the $^{132}Sn$ + $^{124}Sn$ system
Published in Physical Review C, 2021
This paper is about the DL in HICs.
Recommended citation: Fu-Pung Li, Yongjia Wang, Zepeng Gao et al. "Application of machine learning in the determination of impact parameter in the $^{132}Sn$ + $^{124}Sn$ system." Physical Review C. 104. 034608 (2021). https://journals.aps.org/prc/abstract/10.1103/PhysRevC.104.034608
Application of artificial intelligence in the determination of impact parameter in heavy-ion collisions at intermediate energies
Published in Journal of Physics G: Nuclear and Particle Physics, 2020
This paper is about the DL in HICs.
Recommended citation: Fu-Pung Li, Yongjia Wang, Hongliang Lü et al. "Application of artificial intelligence in the determination of impact parameter in heavy-ion collisions at intermediate energies." J. Phys. G: Nucl. Part. Phys. 47, 115104 (2020). https://iopscience.iop.org/article/10.1088/1361-6471/abb1f9