Jianchun Wang
Jianchun Wang
Southern University of Science and Technology, Shenzhen, China
Verified email at sustech.edu.cn - Homepage
Title
Cited by
Cited by
Year
Reynolds-stress-constrained large-eddy simulation of wall-bounded turbulent flows
S Chen, Z Xia, S Pei, J Wang, Y Yang, Z Xiao, Y Shi
Journal of Fluid Mechanics 703, 1, 2012
1042012
A hybrid numerical simulation of isotropic compressible turbulence
J Wang, LP Wang, Z Xiao, Y Shi, S Chen
Journal of Computational Physics 229 (13), 5257-5279, 2010
972010
Effect of compressibility on the small-scale structures in isotropic turbulence
J Wang, Y Shi, LP Wang, Z Xiao, XT He, S Chen
Journal of Fluid Mechanics 713, 588, 2012
882012
Cascade of kinetic energy in three-dimensional compressible turbulence
J Wang, Y Yang, Y Shi, Z Xiao, XT He, S Chen
Physical review letters 110 (21), 214505, 2013
742013
Effect of shocklets on the velocity gradients in highly compressible isotropic turbulence
J Wang, Y Shi, LP Wang, Z Xiao, X He, S Chen
Physics of Fluids 23 (12), 125103, 2011
642011
Kinetic energy transfer in compressible isotropic turbulence
J Wang, M Wan, S Chen, S Chen
Journal of Fluid Mechanics, 2018
512018
Scaling and statistics in three-dimensional compressible turbulence
J Wang, Y Shi, LP Wang, Z Xiao, XT He, S Chen
Physical review letters 108 (21), 214505, 2012
502012
Spectra and statistics in compressible isotropic turbulence
J Wang, T Gotoh, T Watanabe
Physical Review Fluids 2 (1), 013403, 2017
422017
Model reduction with memory and the machine learning of dynamical systems
CM Chao Ma, Jianchun Wang, Weinan E
Communications in Computational Physics 25 (4), 947-962, 2019
38*2019
Model reduction with memory and the machine learning of dynamical systems
C Ma, J Wang
arXiv preprint arXiv:1808.04258, 2018
382018
Artificial neural network mixed model for large eddy simulation of compressible isotropic turbulence
C Xie, J Wang, H Li, M Wan, S Chen
Physics of Fluids 31 (8), 085112, 2019
312019
Effect of shock waves on the statistics and scaling in compressible isotropic turbulence
J Wang, M Wan, S Chen, C Xie, S Chen
Physical Review E 97 (4), 043108, 2018
262018
Scaling and intermittency in compressible isotropic turbulence
J Wang, T Gotoh, T Watanabe
Physical Review Fluids 2 (5), 053401, 2017
242017
Shocklet statistics in compressible isotropic turbulence
J Wang, T Gotoh, T Watanabe
Physical Review Fluids 2 (2), 023401, 2017
242017
Modeling subgrid-scale forces by spatial artificial neural networks in large eddy simulation of turbulence
C Xie, J Wang, E Weinan
Physical Review Fluids 5 (5), 054606, 2020
222020
Artificial neural network approach to large-eddy simulation of compressible isotropic turbulence
C Xie, J Wang, K Li, C Ma
Physical Review E 99 (5), 053113, 2019
202019
Spectra and Mach number scaling in compressible homogeneous shear turbulence
S Chen, J Wang, H Li, M Wan, S Chen
Physics of Fluids 30 (6), 065109, 2018
202018
Acceleration of passive tracers in compressible turbulent flow
Y Yang, J Wang, Y Shi, Z Xiao, XT He, S Chen
Physical review letters 110 (6), 064503, 2013
202013
Modeling subgrid-scale force and divergence of heat flux of compressible isotropic turbulence by artificial neural network
C Xie, K Li, C Ma, J Wang
Physcial Review Fluids 4 (10), 104605, 2019
182019
Cascades of temperature and entropy fluctuations in compressible turbulence
J Wang, M Wan, S Chen, C Xie, W Lian-Ping, S Chen
Journal of Fluid Mechanics 867, 195-215, 2019
182019
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