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Kai Zhou
Kai Zhou
The Chinese University of Hong Kong, Shenzhen
Verified email at cuhk.edu.cn - Homepage
Title
Cited by
Cited by
Year
Medium effects on charmonium production at ultrarelativistic energies available at the CERN Large Hadron Collider
K Zhou, N Xu, Z Xu, P Zhuang
Phys. Rev. C 89 (2014), no.5, 054911, 2014
2712014
An equation-of-state-meter of quantum chromodynamics transition from deep learning
LG Pang, K Zhou, N Su, H Petersen, H Stöcker, XN Wang
Nature communications 9 (2018), no.1, 210, 2018
1592018
Regressive and generative neural networks for scalar field theory
K Zhou, G Endrődi, LG Pang
Phys. Rev. D 100 (2019), 011501(R), 2018
1052018
Heavy ions at the Future Circular Collider
A Dainese, UA Wiedemann, N Armesto, D d'Enterria, JM Jowett, ...
CERN-TH-2016-107, 2016
822016
Heavy flavors under extreme conditions in high energy nuclear collisions
J Zhao, K Zhou, S Chen, P Zhuang
Prog.Part.Nucl.Phys. 114 (2020) 103801, 2020
802020
Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning
YL Du, K Zhou, J Steinheimer, LG Pang, A Motornenko, HS Zong, ...
The European Physical Journal C 80 (2020), 516, 2019
712019
A machine learning study to identify spinodal clumping in high energy nuclear collisions
J Steinheimer, LG Pang, K Zhou, V Koch, J Randrup, H Stoecker
JHEP 1912 (2019), 122, 2019
582019
Thermalization of gluons with Bose-Einstein condensation
Zhe Xu, Kai Zhou, Pengfei Zhuang, Carsten Greiner
Phys. Rev. Lett 114 (2015), no.18, 182301, 2015
49*2015
Unsupervised outlier detection in heavy-ion collisions
P Thaprasop, K Zhou, J Steinheimer, C Herold
Physica Scripta 96 (6), 064003, 2021
432021
Nonequilibrium photon production in partonic transport simulations
M Greif, F Senzel, H Kremer, K Zhou, C Greiner, Z Xu
Phys. Rev. C 95 (2017), no.5, 054903, 2016
422016
ψ^\prime Production and B Decay in Heavy Ion Collisions at LHC
Baoyi Chen, Yunpeng Liu, Kai Zhou, Pengfei Zhuang
Phys. Lett. B 726 (4-5), 725–728, 2013
42*2013
Heavy quark potential in the quark-gluon plasma: Deep neural network meets lattice quantum chromodynamics
S Shi, K Zhou, J Zhao, S Mukherjee, P Zhuang
Physical Review D 105 (1), 014017, 2022
372022
Thermal Charm and Charmonium Production in Quark Gluon Plasma
Kai Zhou, Zhengyu Chen, Carsten Greiner, Pengfei Zhuang
Phys. Lett. B 758 (2016), 434-439, 2016
372016
High energy nuclear physics meets Machine Learning
WB He, YG Ma, LG Pang, H Song, K Zhou
Nucl. Sci. Tech 34 (88), 2023
352023
A fast centrality-meter for heavy-ion collisions at the CBM experiment
MO Kuttan, J Steinheimer, K Zhou, A Redelbach, H Stoecker
Physics Letters B 811, 135872, 2020
352020
Deep learning stochastic processes with QCD phase transition
LJ Jiang, LX Wang, K Zhou
Phys. Rev. D 103, 116023, 2021
312021
Nature Commun. 9, 210 (2018)
LG Pang, K Zhou, N Su, H Petersen, H Stöcker, XN Wang
arXiv preprint arXiv:1612.04262, 2016
312016
Glueballs amass at RHIC and LHC Colliders! - The early quarkless 1st order phase transition at MeV - from pure Yang-Mills glue plasma to GlueBall …
Horst Stoecker, Kai Zhou, et al.
J.Phys. G 2016 (43), 015105, 2015
31*2015
Neural network reconstruction of the dense matter equation of state from neutron star observables
S Soma, L Wang, S Shi, H Stoecker, K Zhou
Journal of Cosmology and Astroparticle Physics 8 (2022), 071, 2022
302022
Υ Production in Heavy Ion Collisions at LHC
K Zhou, N Xu, P Zhuang
Nuclear Physics A 931, 654–658, 2014
302014
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