output
20052026
most citedA deep learning-based remaining useful life prediction approach for bearings

235 citations

Showing nucl-thShow all

14 papers · 1 filter

nucl-th2023★ 8 cited

Solving Schrodinger equations using physically constrained neural network

Kai-Fang Pu, Hanlin Li, Hong-Liang Lu +1

Deep neural network (DNN) and auto differentiation have been widely used in computational physics to solve variational problems. When DNN is used to represent the wave function to…

nucl-th2022★ 23 cited

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…

nucl-th2021★ 39 cited

Probing nuclear structure with mean transverse momentum in relativistic isobar collisions

Hao-jie Xu, Wenbin Zhao, Hanlin Li +3

Transverse momentum () generation in relativistic heavy ion collisions is sensitive to the initial geometry and the final-state bulk evolution. We demonstrate with hydrodyna…

nucl-th2021★ 22 cited

Measuring neutron skin by grazing isobaric collisions

Hao-jie Xu, Hanlin Li, Ying Zhou +4

Neutron skin thickness () of nuclei and the inferred nuclear symmetry energy are of critical importance to nuclear physics and astrophysics. It is traditionally measur…

nucl-th2021★ 80 cited

Determine the neutron skin type by relativistic isobaric collisions

Hao-jie Xu, Hanlin Li, Xiaobao Wang +2

The effects of neutron skin on the multiplicity () and eccentricity() in relativistic Ru+Ru and Zr+Zr collisions at…

nucl-th2019★ 2 cited

Heavy quark flow as better probes of QGP properties

Zi-Wei Lin, Hanlin Li, Fuqiang Wang

In earlier studies we have proposed that most parton comes from the anisotropic escape of partons, not from the hydrodynamic flow, even for semi-central Au+Au collisions at $…