Chun Shen (gf8206)
University information
Contact information
College of Liberal Arts and Sciences
Physics and Astronomy, Room 341
Precision fluid dynamical modelling of quark-gluon plasma at finite baryon density
Electromagnetic tomography in strongly-coupled systems
Rapid thermalization and out-of-equilibrium physics of many-body QCD
Multi-scale imaging of proton and nucleus at high energy
I am interested in understanding strongly interacting many-body systems, in particular, the properties of nuclear matter under extreme hot and dense conditions.
The relativistic heavy-ion collisions create a novel state of matter, Quark-Gluon Plasma (QGP), which exposes surprisingly strong collective behavior with very small specific shear viscosity. In order to quantitative extract the transport properties of the QGP, I work on developing a comprehensive integrated framework, which models the dynamical evolution of the heavy-ion collisions event-by-event. Combining this framework with modern statistical Bayesian analysis, we can reverse engineer the heavy-ion collision experiments and infer the properties of the hottest droplet in nature.
NSF PHY Grant (PI, 2020-2021), "Quantitative Characterization of Quark-Gluon Plasma Properties with Dynamical Fluctuations"
NSF CSSI Grant (Co-PI, 2020-2024), "Frameworks: X-Ion Collisions with a Statistically and Computationally Advanced Program Envelope (X-SCAPE)"
RIKEN-BNL Rearch Center (RBRC) Fellow, 2018-2023
IUPAP Young Scientist Prize in Nuclear Physics 2019
Goldhaber Fellow Brookhaven National Lab 2016
APS Dissertation Award in Nuclear Physics 2016
DOE Early Career Award (2021 - 2026), "Quantitative Characterization of Quark-Gluon Plasma Properties with Dynamical Fluctuations and small systems"
All my papers can be accessed on the INSPIRE or Google Scholar.
- Citations: 8578+; h-index: 44
- Statistics from Google Scholar
Courses taught by Chun Shen
Winter Term 2024
- PHY2170 - University Physics for Scientists I
- PHY2175 - University Physics for Engineers I
- PHY8991 - Special Topics