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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, 1-28, 2012
1402012
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
1362010
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, 588-631, 2012
1212012
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
932013
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
842011
Kinetic energy transfer in compressible isotropic turbulence
J Wang, M Wan, S Chen, S Chen
Journal of Fluid Mechanics, 2018
762018
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
702019
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
632020
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
632012
Spectra and statistics in compressible isotropic turbulence
J Wang, T Gotoh, T Watanabe
Physical Review Fluids 2 (1), 013403, 2017
592017
Model reduction with memory and the machine learning of dynamical systems
C Ma, J Wang, W E
Communications in Computational Physics 25 (4), 947-962, 2019
522019
Model reduction with memory and the machine learning of dynamical systems
C Ma, J Wang, W E
arXiv preprint arXiv:1808.04258, 2018
522018
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
502019
Deconvolutional artificial neural network models for large eddy simulation of turbulence
Z Yuan, C Xie, J Wang
Physics of Fluids 32 (11), 115106, 2020
472020
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
462019
Artificial neural network-based nonlinear algebraic models for large eddy simulation of turbulence
C Xie, Z Yuan, J Wang
Physics of Fluids 32 (11), 115101, 2020
452020
Shocklet statistics in compressible isotropic turbulence
J Wang, T Gotoh, T Watanabe
Physical Review Fluids 2 (2), 023401, 2017
402017
基于人工神经网络的湍流大涡模拟方法
谢晨月, 袁泽龙, 王建春, 万敏平, 陈十一
力学学报 53 (1), 1, 2021
352021
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
352018
Scaling and intermittency in compressible isotropic turbulence
J Wang, T Gotoh, T Watanabe
Physical Review Fluids 2 (5), 053401, 2017
342017
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