351 citations · 3.6k across the 76 of their papers we have counts for
8 papers · 1 filter
Deep-learning quasi-particle masses from QCD equation of state
Fu-Peng Li, Hong-Liang Lü, Long-Gang Pang +1
The interactions of quarks and gluons are strong at non-perturbative region. The equation of state (EoS) of a strongly-interacting quantum chromodynamics (QCD) medium can only be s…
Baryonic spin Hall effects in Au+Au collisions at GeV
Baochi Fu, Longgang Pang, Huichao Song +1
In this proceeding, we present our recent prediction on the local net Lambda polarization to search for the baryonic spin Hall effect (SHE) at RHIC BES energies. The baryonic SHE i…
Deep learning assisted jet tomography for the study of Mach cones in QGP
Zhong Yang, Yayun He, Wei Chen +3
Mach cones are expected to form in the expanding quark-gluon plasma (QGP) when energetic quarks and gluons (called jets) traverse the hot medium at a velocity faster than the speed…
On the uncertainty principle of neural networks
Jun-Jie Zhang, Dong-Xiao Zhang, Jian-Nan Chen +2
In this study, we explore the inherent trade-off between accuracy and robustness in neural networks, drawing an analogy to the uncertainty principle in quantum mechanics. We propos…
3D structure of jet-induced diffusion wake in an expanding quark-gluon plasma
Zhong Yang, Tan Luo, Wei Chen +2
The diffusion wake accompanying the jet-induced Mach cone provides a unique probe of the properties of quark-gluon plasma in high-energy heavy-ion collisions. It can be characteriz…
Deep learning on nuclear mass and decay half-lives
Chen-Qi Li, Chao-Nan Tong, Hong-Jing Du +1
Ab-initio calculations of nuclear masses, the binding energy and the decay half-lives are intractable for heavy nucleus, because of the curse of dimensionality in many body qua…