Articoli con mandati relativi all'accesso pubblico - Kai ZhouUlteriori informazioni
Non disponibili pubblicamente: 3
Quarkonia in high energy nuclear collisions
Y Liu, K Zhou, P Zhuang
International Journal of Modern Physics E 24 (11), 1530015, 2015
Mandati: National Natural Science Foundation of China
Applications of deep learning in forecasting COVID-19 pandemic and county-level risk warning
L Wang, S Han, H Stoecker, K Zhou, Y Jiang
Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases …, 2023
Mandati: National Natural Science Foundation of China, Federal Ministry of Education …
Neural Network Study for 1+ 1d-Complex Scalar Field Theory
K Zhou, G Endrődi, LG Pang, H Stöcker
Nuclear Physics A 1005, 121847, 2021
Mandati: US National Science Foundation, German Research Foundation, Federal Ministry …
Disponibili pubblicamente: 59
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
Mandati: National Natural Science Foundation of China
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
Mandati: US National Science Foundation, US Department of Energy, National Natural …
Regressive and generative neural networks for scalar field theory
K Zhou, G Endrődi, LG Pang
Phys. Rev. D 100 (2019), 011501(R), 2018
Mandati: US National Science Foundation, German Research Foundation
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
Mandati: National Natural Science Foundation of China
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
Mandati: US National Science Foundation, US Department of Energy, National Natural …
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
Mandati: US National Science Foundation, US Department of Energy, Federal Ministry of …
High energy nuclear physics meets Machine Learning
WB He, YG Ma, LG Pang, H Song, K Zhou
Nucl. Sci. Tech 34 (88), 2023
Mandati: National Natural Science Foundation of China
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
Mandati: US Department of Energy, Natural Sciences and Engineering Research Council …
Unsupervised outlier detection in heavy-ion collisions
P Thaprasop, K Zhou, J Steinheimer, C Herold
Physica Scripta 96 (6), 064003, 2021
Mandati: Federal Ministry of Education and Research, Germany
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
Mandati: National Natural Science Foundation of China, Helmholtz Association
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
Mandati: US National Science Foundation, US Department of Energy, Federal Ministry of …
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
Mandati: Federal Ministry of Education and Research, Germany
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
Mandati: National Natural Science Foundation of China
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
Mandati: US Department of Energy, Natural Sciences and Engineering Research Council …
Υ Production in Heavy Ion Collisions at LHC
K Zhou, N Xu, P Zhuang
Nuclear Physics A 931, 654–658, 2014
Mandati: US Department of Energy, National Natural Science Foundation of China
Deep learning stochastic processes with QCD phase transition
LJ Jiang, LX Wang, K Zhou
Phys. Rev. D 103, 116023, 2021
Mandati: Federal Ministry of Education and Research, Germany
Reconstructing spectral functions via automatic differentiation
L Wang, S Shi, K Zhou
Physical Review D 106 (5), L051502, 2022
Mandati: US Department of Energy, Natural Sciences and Engineering Research Council …
Le informazioni sulla pubblicazione e sul finanziamento vengono stabilite automaticamente da un software