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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
2872014
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
1522018
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 flavors under extreme conditions in high energy nuclear collisions
J Zhao, K Zhou, S Chen, P Zhuang
Progress in Particle and Nuclear Physics 114 (2020) 103801, 2020
932020
Heavy ions at the Future Circular Collider
A Dainese, UA Wiedemann, N Armesto, D d'Enterria, JM Jowett, ...
CERN-TH-2016-107, 2016
862016
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
762019
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
642019
High energy nuclear physics meets Machine Learning
WB He, YG Ma, LG Pang, H Song, K Zhou
Nucl. Sci. Tech 34 (88), 2023
572023
Thermalization of gluons with Bose-Einstein condensation
Zhe Xu, Kai Zhou, Pengfei Zhuang, Carsten Greiner
Physical Review Letters 114 (2015), no.18, 182301, 2015
56*2015
Exploring QCD matter in extreme conditions with Machine Learning
K Zhou, L Wang, LG Pang, S Shi
Progress in Particle and Nuclear Physics 135, 104084, 2024
492024
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
482022
Unsupervised outlier detection in heavy-ion collisions
P Thaprasop, K Zhou, J Steinheimer, C Herold
Physica Scripta 96 (6), 064003, 2021
452021
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
44*2013
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
432016
Continuum-extrapolated NNLO Valence PDF of Pion at the Physical Point
X Gao, A D. Hanlon, N Karthik, S Mukherjee, P Petreczky, P Scior, S Shi, ...
Physics Review D 106 (114510), 2022
402022
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
382020
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
382016
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
362022
Υ Production in Heavy Ion Collisions at LHC
K Zhou, N Xu, P Zhuang
Nuclear Physics A 931, 654–658, 2014
332014
Reconstructing spectral functions via automatic differentiation
L Wang, S Shi, K Zhou
Physical Review D 106 (5), L051502, 2022
322022
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