Associate Professor Department of Mechanics and Aerospace Engineering

Jianchun Wang, associate professor, received his B.S. in theoretical and applied mechanics and Ph.D. in fluid mechanics in 2007 and 2012 both from the College of Engineering, Peking University. Then he spent a year at the Center for Applied Physics and Technology of Peking University as a "Peiyuan scholar". From 2013 to 2016, he was a postdoc at Princeton University and Nagoya Institute of Technology. After that, he was an assistant professor at the Mechanics and Aerospace Engineering of Southern University of Science and Technology from September of 2016 to January of 2018. Since February of the same year, he was promoted to associate professor.

Personal Profile

Education Background
 
 2003.9-2007.7, Peking University, College of Engineering, Bachelor
 2007.9-2012.7, Peking university, College of Engineering, Ph.D.
 
Working Experience
 
 2012.7-2013.7, Peking University, Center for Applied Physics and Technology, Peiyuan scholar
 2013.8-2016.1, Princeton University, Postdoc
 2016.2-2016.8, Nagoya Institute of Technology, Postdoc
 2016.9-now, Southern University of Science and Technology, assistant professor, associate professor
 
Publications
 (34). Xiaoning Wang, Song Chen, Jianchun Wang*, Hui Li, Minping Wan, and Shiyi Chen*. 2019. Effect of compressibility on the local flow topology in homogeneous shear turbulence, Physics of Fluids, accepted.

(33). Jianchun Wang*, Minping Wan, Song Chen, Chenyue Xie, Qinmin Zheng, Lian-Ping Wang and Shiyi Chen*. 2019. Effect of flow topology on the kinetic energy flux in compressible isotropic turbulence, Journal of Fluid Mechanics, accepted.

(32). Chenyue Xie, Jianchun Wang*, Hui Li, Minping Wan and Shiyi Chen. 2019. An approximate second-order closure model for large eddy simulation of compressible isotropic turbulence, Communications in Computational Physics, accepted.

(31). Chenyue Xie, Ke Li and Chao Ma, Jianchun Wang*. 2019. Modeling subgrid-scale force and divergence of heat flux of compressible isotropic turbulence by artificial neural network, Physical Review Fluids, 4, 104605.

(30). Song Chen, Xiaoning Wang, Jianchun Wang*, Hui Li, Minping Wan, and Shiyi Chen*. 2019. Effects of bulk viscosity on compressible homogeneous turbulence, Physics of Fluids, 31, 085115. (Editor's Pick)

(29). Chenyue Xie, Jianchun Wang*, Hui Li, Minping Wan and Shiyi Chen*. 2019. Artificial neural network mixed model for large eddy simulation of compressible isotropic turbulence, Physics of Fluids, 31, 085112.

(28). Wen Zhang, Peiqing Liu, Hao Guo, Minping Wan*, Jianchun Wang and Shiyi Chen*. 2019. Identifying the pattern of breakdown in a laminar-turbulent transition via binary sequence statistics and cellular-automaton simulations, Physical Review E, 100, 023110.

(27). Jianchun Wang*, Minping Wan*, Song Chen, Chenyue Xie, Lian-Ping Wang and Shiyi Chen. 2019. Cascades of temperature and entropy fluctuations in compressible turbulence, Journal of Fluid Mechanics, 867, 195-215.

(26). Chenyue Xie, Jianchun Wang*, Ke Li and Chao Ma. 2019. Artificial neural network approach to large-eddy simulation of compressible isotropic turbulence, Physical Review E, 99, 053113.

(25). Chao Ma, Jianchun Wang and Weinan E*. 2019. Model Reduction with Memory and the Machine Learning of Dynamical Systems, Communications in Computational Physics, 25, 947-962.

(24). Zheng Yan, Xinliang Li, Jianchun Wang and Changping Yu*. 2019. Effect of pressure on joint cascade of kinetic energy and helicity in compressible helical turbulence, Physical Review E, 99, 033114.

(23). Song Chen, Jianchun Wang*, Hui Li, Minping Wan, and Shiyi Chen. 2019. Effect of compressibility on small scale statistics in homogeneous shear turbulence, Physics of Fluids, 31, 025107. (Editor's Pick)

(22). Luoqin Liu, Jianchun Wang, Yipeng Shi, Shiyi Chen and X. T. He*. 2019. A hybrid numerical simulation of supersonic isotropic turbulence, Communications in Computational Physics, 25, 189-217.

(21). Song Chen, Jianchun Wang*, Hui Li, Minping Wan and Shiyi Chen. 2018. Spectra and Mach number scaling in compressible homogeneous shear turbulence, Physics of Fluids, 30, 065109.

(20). Chenyue Xie, Jianchun Wang*, Hui Li, Minping Wan and Shiyi Chen. 2018. A modified optimal LES model for highly compressible isotropic turbulence, Physics of Fluids, 30, 065108.

(19). Jianchun Wang*, Minping Wan*, Song Chen, Chenyue Xie and Shiyi Chen. 2018. Effect of shock waves on the statistics and scaling in compressible isotropic turbulence, Physical Review E, 97, 043108. (Editors' Suggestion)

(18). Jianchun Wang*, Minping Wan*, Song Chen and Shiyi Chen. 2018. Kinetic energy transfer in compressible isotropic turbulence, Journal of Fluid Mechanics, 841, 581-613.

(17). J. Wang*, T. Gotoh, and T. Watanabe. 2017. Scaling and intermittency in compressible isotropic turbulence, Physical Review Fluids, 2, 053401.

(16). J. Wang*, T. Gotoh, and T. Watanabe. 2017. Shocklet statistics in compressible isotropic turbulence, Physical Review Fluids, 2, 023401.

(15). J. Wang*, T. Gotoh, and T. Watanabe. 2017. Spectra and statistics in compressible isotropic turbulence, Physical Review Fluids, 2, 013403.

(14). Y. Yang, J. Wang, Y. Shi*, Z. Xiao, X. He, and S. Chen. 2016. Intermittency caused by compressibility: a Lagrangian study. Journal of Fluid Mechanics, 786, R6.

(13). Weinan E* and J. Wang. 2016. A thermodynamic study of the two-dimensional pressure driven channel flow. Discrete and Continuous Dynamical Systems, 36, 4349-4366.

(12). J. Wang, Q. Li, and Weinan E*. 2015. Study of the instability of the Poiseuille flow using a thermodynamic formalism. Proceedings of the National Academy of Sciences of the United States of America, 112, 9518-9523.

(11). S. Chen*, Z. Xia, J. Wang, Y. Yang. 2015. Recent progress in compressible turbulence. Acta Mechanica Sinica, 31, 275-291.

(10). Y. Yang, J. Wang, Y. Shi*, Z. Xiao, X. He, and S. Chen. 2014. Interactions between inertial particles and shocklets in compressible turbulent flow. Physics of Fluids, 26, 091702.

(9). J. Wang, Y. Yang, Y. Shi, Z. Xiao, X. He, and S. Chen*. 2013. Statistics and structures of pressure and density in compressible isotropic turbulence. Journal of Turbulence, 14, 21-37.

(8). J. Wang, Y. Yang, Y. Shi*, Z. Xiao, X. He, and S. Chen*. 2013. Cascade of kinetic energy in three-dimensional compressible turbulence. Physical Review Letters, 110, 214505.

(7). Y. Yang, J. Wang, Y. Shi*, Z. Xiao, X. He, and S. Chen*. 2013. Acceleration of Passive Tracers in Compressible Turbulent Flow. Physical Review Letters, 110, 064503.

(6). J. Wang*, Y. Shi, L.-P. Wang, Z. Xiao, X. He, and S. Chen*. 2012. Effect of compressibility on the small scale structures in isotropic turbulence. Journal of Fluid Mechanics, 713, 588-631.

(5). J. Wang, Y. Shi, L.-P. Wang, Z. Xiao, X. He, and S. Chen*. 2012. Scaling and Statistics in Three-Dimensional Compressible Turbulence. Physical Review Letters, 108, 214505.

(4). S. Chen, Z. Xia, S. Pei, J. Wang, Y. Yang, Z. Xiao, and Y. Shi*. 2012. Reynolds stress-constrained large eddy simulation of wall-bounded turbulent flows. Journal of Fluid Mechanics, 703, 1-28.

(3). Q. Ni*, F. Hussain, J. Wang, and S. Chen*. 2012. Analysis of Reynolds number scaling for viscous vortex reconnection. Physics of Fluids, 24, 105102.

(2). J. Wang*, Y. Shi, L.-P. Wang, Z. Xiao, X. He, and S. Chen*. 2011. Effect of shocklets on the velocity gradients in highly compressible isotropic turbulence. Physics of Fluids, 23, 125103.

(1). J. Wang, L.-P. Wang*, Z. Xiao, Y. Shi, and S. Chen*. 2010. A hybrid numerical simulation of isotropic compressible turbulence. Journal of Computational Physics, 229, 5257-5279.

Research

Research interests include theory and simulation of turbulence, flow instability and computational fluid dynamics.


Teaching

Undergraduate courses: Theoretical mechanics, Aerodynamics


Publications Read More

Some research highlights are:

(1) developed a modal decomposition method to discover the multi-scale properties of solenoidal, dilatational and thermodynamic processes in compressible turbulence, including: spectra of velocity and thermodynamic quantities, multi-scale transport of kinetic energy and thermodynamic quantities, small-scale structures, interactions between shocks and vortices, etc.

(2) developed a thermodynamic method applied to study the subcritical instability of Poiseuille flow, determined the critical Reynolds number where nonlinear instability is triggered, computed free energy, action function and thermodynamic relation of the flow system.

(3) developed advanced subgrid-scale (SGS) models based on machine learning for large eddy simulation(LES) of turbulence, which are much more accurate than traditional LES in both priori and posteriori tests.

News More

  • The group presented at the Chinese Congress of Theoretical and Applied mechanics, 2019.

    2019-08-29
  • Congratualtions to Dr. Qinming Zheng on successfully receiving youth funding from the National Natural Science Foundation of China.

    Congratulations to Dr. Qinming Zheng on successfully receiving youth funding from the National Natural Science Foundation of China. 

    2019-08-21
  • Congratulations to Dr. Song Chen on receiving Humboldt Research Fellowship for Postdoctoral Researchers

    Dr. Song Chen successfully received Humboldt Research Fellowship for Postdoctoral Researchers. He will go to Technische Universität München to work with Prof. Nikolaus A. Adams.

    2019-03-19

Lab members Read More

Join us

Our group recruits research assistant professor, postdoc, research assistant, master and PhD students on regular basis with fruitful salary. Please feel free to contact us.

If you are interested, please send you CV to wangjc@sustech.edu.cn, with CV title named as "your name+your university+major+position".

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Contact Us

Contact Address

Wisdom Valley, fifth building, room 511, 1088 Xueyuan Avenue, Shenzhen 518055, P.R. China

Office Phone

0755-88018151

Email

wangjc@sustech.edu.cn

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