activity
20192022
most citedIdeal spin hydrodynamics from Wigner function approach

70 citations · 233 across the 12 of their papers we have counts for

collaborators

12 papers

physics.comp-ph2022★ 1 cited

JefiPIC: A 3-D Full Electromagnetic Particle-in-Cell Simulator Based on Jefimenko's Equations on GPU

Jiannan Chen, Jun-Jie Zhang, Xueming Li +2

This paper presents a novel 3-D full electromagnetic particle-in-cell (PIC) code called JefiPIC, which uses Jefimenko's equations as the electromagnetic (EM) field solver through a…

cs.LG2022★ 2 cited

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…

hep-ph2022★ 19 cited

Charge-dependent directed flows in heavy-ion collisions by Boltzmann-Maxwell equations

Jun-Jie Zhang, Xin-Li Sheng, Shi Pu +4

We have calculated the directed flow and charge-dependent directed flow for pions and protons in Au+Au collisions at GeV by solving the coupled…

hep-th2021★ 70 cited

Ideal spin hydrodynamics from Wigner function approach

Hao-Hao Peng, Jun-Jie Zhang, Xin-Li Sheng +1

Based on the Wigner function in local equilibrium, we derive hydrodynamical quantities for a system of polarized spin-1/2 particles: the particle number current density, the energy…

cs.DC2021★ 1 cited

ZMCintegral-v5.1: Support for Multi-function Integrations on GPUs

Xiao-Yan Cao, Jun-Jie Zhang

In this new version of ZMCintegral, we have added the functionality of multi-function integrations, i.e. the ability to integrate more than different functions on GPUs. Th…

physics.comp-ph2021★ 9 cited

JefiGPU: Jefimenko's Equations on GPU

Jun-Jie Zhang, Jian-Nan Chen, Guo-Liang Peng +2

We have implemented a GPU version of the Jefimenko's equations -- JefiGPU. Given the proper distributions of the source terms (charge density) and (current density…

physics.plasm-ph2021★ 8 cited

Two typical collective behaviors of the heavy ions expanding in cold plasma with ambient magnetic field

Guo-Liang Peng, Jun-Jie Zhang, Jian-Nan Chen +2

We have numerically studied the evolution of the heavy ions that expand in a cold background plasma at a large scale. Two typical collective behaviors of the heavy ions are identif…

nucl-th2020

Quark polarization from parton scatterings in heavy ion collisions

Jun-Jie Zhang, Ren-Hong Fang, Qun Wang +1

Based on the result in our previous work, we calculate the polarization of quarks from parton scatterings in high energy heavy ion collisions. The result is compared with the STAR…

hep-ph2019★ 21 cited

Towards a full solution of relativistic Boltzmann equation for quark-gluon matter on GPUs

Jun-Jie Zhang, Hong-Zhong Wu, Shi Pu +2

We have developed a numerical framework for a full solution of the relativistic Boltzmann equations for the quark-gluon matter using the multiple Graphics Processing Units (GPUs) o…

physics.comp-ph2019★ 11 cited

ZMCintegral-v5: Support for Integrations with the Scanning of Large Parameter Grids on Multi-GPUs

Jun-Jie Zhang, Hong-Zhong Wu

In this updated vesion of ZMCintegral, we have added the functionality of integrations with parameter scan on distributed Graphics Processing Units(GPUs). Given a large parameter g…

nucl-th2019★ 60 cited

A microscopic description for polarization in particle scatterings

Jun-jie Zhang, Ren-hong Fang, Qun Wang +1

We propose a microscopic description for the polarization from the first principle through the spin-orbit coupling in particle collisions. The model is different from previous ones…

physics.comp-ph2019★ 31 cited

ZMCintegral: a Package for Multi-Dimensional Monte Carlo Integration on Multi-GPUs

Hong-Zhong Wu, Jun-Jie Zhang, Long-Gang Pang +1

We have developed a Python package ZMCintegral for multi-dimensional Monte Carlo integration on multiple Graphics Processing Units(GPUs). The package employs a stratified sampling…