Dr. Jianchun Wang received the B.Sc. degree in Theoretical and Applied Mechanics in 2007, and received the Ph.D. degree in Fluid Mechanics in 2012, both from the College of Engineering, Peking University. From 2012 to 2013, he was a Peiyuan scholar in the Center for Applied Physics and Technology (CAPT) at Peking University. Between 2013 and 2016 he was a Postdoctoral Research Associate at Princeton University and Nagoya Institute of Technology. In 2016, he was assistant professor in Department of Mechanics and Aerospace Engineering at SUSTech, and became associate professor in 2018.

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

(3) We developed data-driven approaches for fast prediction of turbulence, which are much more accuracy and efficiency as compared to traditional large eddy simulations.

(4) We developed a thermodynamic method for studying 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.

Representative Papers

(1). Zhijie Li, Wenhui Peng, Zelong Yuan and Jianchun Wang*. 2023. Long-term predictions of turbulence by implicit U-Net enhanced Fourier neural operator, Physics of Fluids, 35, 075145. 

(2). Chenyue Xie, Zelong Yuan, Jianchun Wang*, Minping Wan and Shiyi Chen. 2021. Artificial neural network-based subgrid-scale models for large-eddy simulation of turbulence (Review Article), Chinese Journal of Theoretical and Applied Mechanics, 53(1): 1-16. (in Chinese)

(3). 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.

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

(5). 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.

(6). 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.

Theme Articles 

(2). Xiang Yang*, Jianchun Wang*, 2023, Machine learning in mechanics, Theoretical and Applied Mechanics Letters, 13, 100416. 

(1). Jianchun Wang*, Guodong Jin*. 2021. Preface of theme articles on applications of machine learning to simulations and controls in mechanics. Chinese Journal of Theoretical and Applied Mechanics, 53(10): 2613-2615. (in Chinese)

Publications

2025

(120). Ning Chang, Zelong Yuan, Yunpeng Wang and Jianchun Wang*. 2025. The discrete direct deconvolution model in the large eddy simulation of turbulence, Communications in Computational Physics, accepted.

(119). Xingsi Ren, Dehao Xu, Jianchun Wang* and Shiyi Chen*. 2025. Artificial-neural-network-based subgrid-scale models in the strain-rate eigenframe for large-eddy simulation of compressible turbulent channel flow, Physical Review Fluids, accepted.

(118). Xiaoning Wang, Jing Guo, Jianchun Wang* and Shiyi Chen. 2025. Turbulent kinetic energy budget in compressible turbulent mixing layers：Effects of large-scale structures, Journal of Fluid Mechanics, accepted.

(117). Guowei Yang, Zheng Yan, Junfeng Wu, Jianchun Wang, Changping Yu, Xinliang Li, and L. F. Wang*. 2025. Kinetic energy spectrum and transfer within the near-dissipation range of compressible isotropic turbulence, Physics of Fluids, accepted.

2024

(116). Ruibo Zhang, Xiaoning Wang, Jianchun Wang* and Shiyi Chen*. 2024. Modulation of Large-scale Motions on Turbulent/non-turbulent Interface in Spatially Developing Compressible Mixing Layer, Physics of Fluids, 36, 125123.

(115). Boyu Fan, Yunpeng Wang, Zelong Yuan and Jianchun Wang*. 2024. Eddy viscosity enhanced temporal direct deconvolution model for temporal large-eddy simulation of turbulent channel flow, Physics of Fluids, 36, 105141.

(114). Zheng Yan, Junfeng Wu, Zhu Lei, Jianchun Wang, Lifeng Wang*, Xinliang Li and Changping Yu*. 2024. Helicity transfer in compressible turbulent flows, Physical Review Fluids, 9, 094603.

(113). Yunpeng Wang, Zhijie Li, Zelong Yuan, Wenhui Peng, Tianyuan Liu and Jianchun Wang*. 2024. Prediction of turbulent channel flow using Fourier neural operator-based machine-learning strategy, Physical Review Fluids, 9, 084604.

The code and dataset are available at https://github.com/Turbulence-AI/IUFNO-CHL .

(112). Ximeng Hou, Dehao Xu, Jianchun Wang* and Shiyi Chen*. 2024. On the correlations between thermodynamic fluctuations in shock wave/turbulent boundary layer interaction, Physical Review Fluids, 9, 073401.

(111). Deying Meng, Yiding Zhu, Jianchun Wang* and Yipeng Shi*. 2024. Koopman neural operator approach to fast flow prediction of airfoil transonic buffet, Physics of Fluids, 36, 075182.

(110). Tengfei Luo, Zhijie Li, Zelong Yuan, Wenhui Peng, Tianyuan Liu, Liangzhu (Leon) Wang and Jianchun Wang*. 2024. Fourier neural operator for large eddy simulation of compressible Rayleigh-Taylor turbulence,  Physics of Fluids, 36, 075165.

(109). Zhijie Li, Tianyuan Liu*, Wenhui Peng, Zelong Yuan and Jianchun Wang*. 2024. A transformer-based neural operator for large-eddy simulation of turbulence, Physics of Fluids, 36, 065167.

(108). Huiyu Yang, Zhijie Li, Xia Wang and Jianchun Wang*. 2024. An implicit factorized transformer with applications to fast prediction of three-dimensional turbulence, Theoretical and Applied Mechanics Letters, 14, 100527. 

(107). Mengjie Ding, Jin-Han Xie* and Jianchun Wang. 2024. Departure from the statistical equilibrium of large scales in forced three-dimensional homogeneous isotropic turbulence, Journal of Fluid Mechanics, 984, A71.

(106). Xiaoning Wang, Jing Guo, Jianchun Wang* and Shiyi Chen. 2024. Interfaces of high- and low-speed large-scale structures in compressible turbulent mixing layers: compressibility effects and structures, Journal of Fluid Mechanics, 981, A6.

(105). Wenhui Peng, Shaoxiang Qin, Senwen Yang, Jianchun Wang, Xue Liu, and Liangzhu (Leon) Wang*. 2024. Fourier neural operator for real-time simulation of 3D dynamic urban microclimate, Building and Environment, 248, 111063.

2023

(104). Haijun Yu*, Itzhak Fouxon, Jianchun Wang, Xiangru Li, Li Yuan, Shipeng Mao, and Michael Mond*. 2023. Lyapunov exponents and Lagrangian chaos suppression in compressible homogeneous isotropic turbulence, Physics of Fluids, 35, 125114.

(103). Deying Meng, Yiding Zhu, Jianchun Wang* and Yipeng Shi*. 2023. Fast flow prediction of airfoil dynamic stall based on Fourier neural operator, Physics of Fluids, 35, 115126.

(102). Dehao Xu*, Jianchun Wang* and Shiyi Chen*. 2023. Wall cooling effect on spectra and structures of thermodynamic variables in hypersonic turbulent boundary layers, Journal of Fluid Mechanics, 974, A55.

(101). Tengfei Luo, Yunpeng Wang, Zelong Yuan, Zhou Jiang, Wenfeng Huang* and Jianchun Wang*. 2023. Large-eddy simulations of compressible Rayleigh-Taylor turbulence with miscible fluids using spatial gradient model,  Physics of Fluids, 35, 105131.

(100). Yunpeng Wang, Zelong Yuan and Jianchun Wang*. 2023. Ensemble data assimilation-based mixed subgrid-scale model for large-eddy simulations,  Physics of Fluids, 35, 085107.

(99). Zhijie Li, Wenhui Peng, Zelong Yuan and Jianchun Wang*. 2023. Long-term predictions of turbulence by implicit U-Net enhanced Fourier neural operator, Physics of Fluids, 35, 075145.

(98). Zelong Yuan, Yunpeng Wang, Xiaoning Wang and Jianchun Wang*. 2023. Adjoint-based variational optimal mixed models for large-eddy simulation of turbulence, Physics of Fluids, 35, 075105.

(97). Boyu Fan, Zelong Yuan, Yunpeng Wang and Jianchun Wang*. 2023. Eddy viscosity enhanced temporal direct deconvolution models for temporal large-eddy simulation of turbulence, Physics of Fluids, 35, 065126.

(96). Dehao Xu*, Jianchun Wang* and Shiyi Chen*. 2023. Reynolds number and wall cooling effects on correlations between the thermodynamic variables in hypersonic turbulent boundary layers, Journal of Fluid Mechanics, 965, A4.

(95). Dehao Xu, Jianchun Wang*, Changping Yu and Shiyi Chen*. 2023. Artificial-neural-network-based nonlinear algebraic models for large-eddy simulation of compressible wall-bounded turbulence, Journal of Fluid Mechanics, 960, A4.

(94). Ning Chang, Zelong Yuan, Yunpeng Wang and Jianchun Wang*. 2023. The effect of filter anisotropy on the large eddy simulation of turbulence, Physics of Fluids, 35, 035134.

(93). Wenjin Zhao, Guiyu Cao*, Jianchun Wang* and Kun Xu. 2023. High-order Gas-kinetic Schemes with Non-compact and Compact Reconstruction for Implicit Large Eddy Simulation, Computers and Fluids, 256, 105846.

(92). Qingjia Meng, Zhou Jiang* and Jianchun Wang. 2023. Artificial neural network-based subgrid-scale models for LES of compressible turbulent channel flow, Theoretical and Applied Mechanics Letters, 13, 100399. (Special topic on "Machine Learning in Mechanics")

(91). Yunpeng Wang, Zelong Yuan and Jianchun Wang*. 2023. A further investigation on the data assimilation-based small-scale reconstruction of turbulence,  Physics of Fluids, 35, 015143.

(90). Wenhui Peng, Zelong Yuan, Zhijie Li and Jianchun Wang*. 2023. Linear attention coupled Fourier neural operator for simulation of three-dimensional turbulence, Physics of Fluids, 35, 015106.

2022

(89). Zhijie Li, Wenhui Peng, Zelong Yuan and Jianchun Wang*. 2022. Fourier neural operator approach to large eddy simulation of three-dimensional turbulence, Theoretical and Applied Mechanics Letters, 12, 100389. (Special topic on "Machine Learning in Mechanics")

(88). Yuandong Chen, Xiaoning Wang, Lishu Duan and Jianchun Wang*. 2022. Effect of heat source on kinetic energy transfer in compressible homogeneous shear turbulence, Physics of Fluids, 34, 125124.

(87). Chao Zhang, Zelong Yuan, Lishu Duan, Yunpeng Wang and Jianchun Wang*. 2022. Dynamic iterative approximate deconvolution model for large-eddy simulation of dense-gas compressible turbulence,  Physics of Fluids, 34, 125103.

(86). Tengfei Luo and Jianchun Wang*. 2022. Mixing and energy transfer in compressible Rayleigh-Taylor turbulence for initial isothermal stratification, Physical Review Fluids, 7, 104608.

(85). Qinmin Zheng, Yan Yang, Jianchun Wang* and Shiyi Chen. 2022. Enstrophy production and flow topology in compressible isotropic turbulence with vibrational non-equilibrium, Journal of Fluid Mechanics, 950, A21.

(84). Yunpeng Wang, Zelong Yuan, Xiaoning Wang and Jianchun Wang*. 2022. Constant-coefficient spatial gradient models for the sub-grid scale closure in large-eddy simulation of turbulence,  Physics of Fluids, 34, 095108.

(83). Ning Chang, Zelong Yuan and Jianchun Wang*. 2022. The effect of sub-filter scale dynamics in large eddy simulation of turbulence, Physics of Fluids, 34, 095104.

(82). Xiaoning Wang, Jianchun Wang* and Shiyi Chen. 2022. Compressibility effects on statistics and coherent structures of compressible turbulent mixing layers, Journal of Fluid Mechanics, 947, A38.

(81). Yi Wang, Giulio Vita, Bruño Fraga, Chenghao Lyu, Jianchun Wang and Hassan Hemida*. 2022. Influence of Turbulent Inlet Boundary Condition on Large Eddy Simulation Over a Flat Plate Boundary Layer, International Journal of Computational Fluid Dynamics, 36, 232-259.

(80). Zhou Jiang*, Yongchao Ji and Jianchun Wang. 2022. Compressibility effect on interaction of shock wave and turbulent boundary layer,  Physics of Fluids, 34, 075122.

(79). Chao Zhang, Zelong Yuan, Yunpeng Wang, Ruibo Zhang and Jianchun Wang*. 2022. Density-unweighted subgrid-scale models for large-eddy simulations of compressible turbulence,  Physics of Fluids, 34, 065137.

(78). Yunpeng Wang, Zelong Yuan, Chenyue Xie and Jianchun Wang*. 2022. Temporally sparse data assimilation for the small-scale reconstruction of turbulence,  Physics of Fluids, 34, 065115.

(77). Jian Teng, Zelong Yuan and Jianchun Wang*. 2022. Subgrid-scale modelling using deconvolutional artificial neural networks in large eddy simulations of chemically reacting compressible turbulence, International Journal of Heat and Fluid Flow, 96, 109000. (Special topical issue on "Machine Learning for Data-Driven Turbulence Modelling of Flow and Heat Transfer")

(76). Dehao Xu*, Jianchun Wang*,  Changping Yu, Xinliang Li and Shiyi Chen*. 2022. Effect of compressibility on the small-scale structures in hypersonic turbulent boundary layer, Physics of Fluids, 34, 055121.

(75). Dehao Xu, Jianchun Wang* and Shiyi Chen*. 2022. Skin friction and heat transfer decompositions in hypersonic transitional and turbulent boundary layers, Journal of Fluid Mechanics, 941, A4.

(74). Zelong Yuan, Yunpeng Wang, Chenyue Xie and Jianchun Wang*. 2022. Dynamic nonlinear algebraic models with scale-similarity dynamic procedure for large-eddy simulation of turbulence, Advances in Aerodynamics, 4, 16.

(73). Dehao Xu, Jianchun Wang*, Changping Yu, Xinliang Li and Shiyi Chen*. 2022. Contribution of flow topology to the kinetic energy flux in hypersonic turbulent boundary layer, Physics of Fluids, 34, 046103.

(72). Jian Teng, Jianchun Wang* and Shiyi Chen. 2022. Flow topology and enstrophy production in chemically reacting compressible isotropic turbulence, Physical Review Fluids, 7, 033201.

(71). Wenhui Peng, Zelong Yuan and Jianchun Wang*. 2022. Attention-enhanced neural network models for turbulence simulation, Physics of Fluids, 34, 025111. (Special topic on "Artificial Intelligence in Fluid Mechanics")

(70). Tao Chen, Xin Wen, Lian-Ping Wang*, Zhaoli Guo, Jianchun Wang, Shiyi Chen and Dauren Zhakebayev. 2022. Simulation of three-dimensional forced compressible isotropic turbulence by a redesigned discrete unified gas kinetic scheme, Physics of Fluids, 34, 025106.

(69). Changping Yu, Zelong Yuan, Han Qi, Jianchun Wang*, Xinliang Li* and Shiyi Chen. 2022. Kinetic-energy-flux-constrained model using artificial neural network for large-eddy simulation of compressible wall-bounded turbulence, Journal of Fluid Mechanics, 932, A23.

2021

(68). Zelong Yuan, Yunpeng Wang, Chenyue Xie and Jianchun Wang*. 2021. Deconvolutional artificial-neural-network framework for subfilter-scale models of compressible turbulence, Acta Mechanica Sinica, 37, 1775-1787. (Special issue on "Artificial intelligence in fluid mechanics")

(67). Yuandong Chen, Xiaoning Wang, Zhou Jiang and Jianchun Wang*. 2021. Effect of heat source on statistics and scaling in compressible homogeneous shear turbulence, Physics of Fluids, 33, 125128.

(66). Haochen Li, Yaomin Zhao*, Jianchun Wang, and Richard D. Sandberg. 2021. Data-driven model development for large-eddy simulation of turbulence using gene-expression programming, Physics of Fluids, 33, 125127.

(65). Wenjin Zhao, Jianchun Wang*, Guiyu Cao and Kun Xu*. 2021. High-order gas-kinetic scheme for large eddy simulation of turbulent channel flows, Physics of Fluids, 33, 125102.

(64). Lishu Duan, Qinmin Zheng, Zhou Jiang and Jianchun Wang*. 2021. Dense gas effect on small-scale structures of compressible isotropic turbulence, Physics of Fluids, 33, 115113.

(63). Tengfei Luo and Jianchun Wang*. 2021. Effects of Atwood number and stratification parameter on compressible multi-mode Rayleigh-Taylor instability, Physics of Fluids, 33, 115111.

(62). Dehao Xu, Jianchun Wang*, Minping Wan, Changping Yu, Xinliang Li and Shiyi Chen*. 2021. Effect of wall temperature on the kinetic energy transfer in hypersonic turbulent boundary layer, Journal of Fluid Mechanics, 929, A33.

(61). Chenyue Xie, Jianchun Wang*, Minping Wan and Shiyi Chen. 2021. Artificial neural network model for large eddy simulation of compressible turbulence. Acta Aeronautica et Astronautica Sinica, 42(9): 625723. (in Chinese)

(60). Chenyue Xie*, Xiangming Xiong and Jianchun Wang. 2021. Artificial neural network approach for turbulence models: A local framework, Physical Review Fluids, 6, 084612.

(59). Zelong Yuan, Yunpeng Wang, Chenyue Xie and Jianchun Wang*. 2021. Dynamic iterative approximate deconvolution models for large eddy simulation of turbulence, Physics of Fluids, 33, 085125.

(58). Yunpeng Wang, Zelong Yuan, Chenyue Xie and Jianchun Wang*. 2021. A dynamic spatial gradient model for the subgrid closure in large-eddy simulation of turbulence, Physics of Fluids, 33, 075119.

(57). Wen Zhang, Minping Wan*, Zhenhua Xia, Jianchun Wang, Xiyun Lu and Shiyi Chen*. 2021. Constrained large-eddy simulation of turbulent flow over inhomogeneous rough surfaces, Theoretical and Applied Mechanics Letters, 11, 100229.

(56). Xiaoning Wang, Jianchun Wang*, Hui Li and Shiyi Chen. 2021. Kinetic energy transfer in compressible homogeneous anisotropic turbulence, Physical Review Fluids, 6, 064601.

(55). Qinmin Zheng, Jianchun Wang*, Bernd R. Noack, Alam Mahbub, Hui Li and Shiyi Chen. 2021.  Transfer of internal energy fluctuation in compressible isotropic turbulence with vibrational nonequilibrium, Journal of Fluid Mechanics, 919, A26.

(54). Yi Wang, Giulio Vita, Bruño Fraga, Jianchun Wang and Hassan Hemida*. 2021. Effect of the Inlet Boundary Conditions on the Flow over Complex Terrain Using Large Eddy Simulation, Designs, 5, 34.

(53). Dehao Xu, Jianchun Wang*, Minping Wan, Changping Yu, Xinliang Li and Shiyi Chen*. 2021. Compressibility effect in hypersonic boundary layer with isothermal wall condition, Physical Review Fluids, 6, 054609.

(52). Yunpeng Wang, Zelong Yuan, Chenyue Xie and Jianchun Wang*. 2021. Artificial neural network-based spatial gradient models for large-eddy simulation of turbulence, AIP Advances, 11, 055216.

(51). Wen Zhang, Minping Wan*, Zhenhua Xia, Jianchun Wang, Xiyun Lu and Shiyi Chen*. 2021. Constrained large-eddy simulation of turbulent flow over rough walls, Physical Review Fluids, 6, 044602.

(50). Jian Teng, Jianchun Wang*, Hui Li and Shiyi Chen*. 2021. Inter-scale kinetic energy transfer in chemically reacting compressible isotropic turbulence, Journal of Fluid Mechanics, 912, A36.

(49). Shiyi Chen*, Jianchun Wang, Qinmin Zheng, Xiaoning Wang, Jian Teng and Minping Wan. 2021. Multi-scale analyses of compresible turbulence (Review Article), Acta Aerodynamica Sinica, 39(1): 1-17. (in Chinese)

(48). Chenyue Xie, Zelong Yuan, Jianchun Wang*, Minping Wan and Shiyi Chen. 2021. Artificial neural network-based subgrid-scale models for large-eddy simulation of turbulence (Review Article), Chinese Journal of Theoretical and Applied Mechanics, 53(1): 1-16. (in Chinese)

2020

(47). Tianyi Li, Minping Wan*, Jianchun Wang, and Shiyi Chen*. 2020. Spectral energy transfers and kinetic-potential energy exchange in rotating stratified turbulence, Physical Review Fluids, 5, 124804.

(46). Tao Chen, Xin Wen, Lian-Ping Wang*, Zhaoli Guo, Jianchun Wang and Shiyi Chen. 2020. Simulation of three-dimensional compressible decaying isotropic turbulence using a redesigned discrete unified gas kinetic scheme, Physics of Fluids, 32, 125104.

(45). Zelong Yuan, Chenyue Xie and Jianchun Wang*. 2020. Deconvolutional artificial neural network models for large eddy simulation of turbulence, Physics of Fluids, 32, 115106.

(44). Chenyue Xie, Zelong Yuan and Jianchun Wang*. 2020. Artificial neural network-based nonlinear algebraic models for large eddy simulation of turbulence, Physics of Fluids, 32, 115101.

(43). Zheng Yan, Xinliang Li*, Changping Yu* and Jianchun Wang. 2020. Cross-chirality transfer of kinetic energy and helicity in compressible helical turbulence, Physical Review Fluids, 5, 084604.

(42). Jian Teng, Jianchun Wang*, Hui Li and Shiyi Chen*. 2020. Spectra and scaling in chemically reacting compressible isotropic turbulence, Physical Review Fluids, 5, 084601.

(41). Chenyue Xie, Jianchun Wang* and Weinan E. 2020. Modeling subgrid-scale forces by spatial artificial neural networks in large eddy simulation of turbulence, Physical Review Fluids, 5, 054606.

(40). Zheng Yan, Xinliang Li, Changping Yu*, Jianchun Wang and Shiyi Chen. 2020. Dual channels of helicity cascade in turbulent flows, Journal of Fluid Mechanics, 894, R2.

(39). Qinmin Zheng, Jianchun Wang*, Bernd R. Noack, Hui Li, Minping Wan and Shiyi Chen*. 2020. Vibrational relaxation in compressible isotropic turbulence with thermal non-equilibrium, Physical Review Fluids, 5, 044602.

(38). Chenyue Xie, Jianchun Wang*, Hui Li, Minping Wan and Shiyi Chen. 2020. Spatial artificial neural network model for subgrid-scale stress and heat flux of compressible turbulence, Theoretical and Applied Mechanics Letters, 10, 27-32.

(37). Chenyue Xie, Jianchun Wang*, Hui Li, Minping Wan and Shiyi Chen. 2020. An approximate second-order closure model for large eddy simulation of compressible isotropic turbulence, Communications in Computational Physics, 27, 775-808.

(36). Xiaoning Wang, Song Chen, Jianchun Wang*, Hui Li, Minping Wan, and Shiyi Chen*. 2020. Effect of compressibility on the local flow topology in homogeneous shear turbulence, Physics of Fluids, 32, 015118.

(35). Tengfei Luo, Jianchun Wang*, Chenyue Xie, Minping Wan, and Shiyi Chen*. 2020. Effects of compressibility and Atwood number on the single-mode Rayleigh-Taylor instability, Physics of Fluids, 32, 012110. (Featured Article).

(34). Chenyue Xie, Jianchun Wang*, Hui Li, Minping Wan and Shiyi Chen*. 2020. Spatially multi-scale artificial neural network model for large eddy simulation of compressible isotropic turbulence, AIP Advances, 10, 015044. (Featured Article).

(33). Tianyi Li, Minping Wan*, Jianchun Wang, and Shiyi Chen*. 2020. Flow structures and kinetic-potential exchange in forced rotating stratified turbulence, Physical Review Fluids, 5, 014802.

(32). Jianchun Wang*, Minping Wan, Song Chen, Chenyue Xie, Qinmin Zheng, Lian-Ping Wang and Shiyi Chen*. 2020. Effect of flow topology on the kinetic energy flux in compressible isotropic turbulence, Journal of Fluid Mechanics, 883, A11.

2019

(31). Chenyue Xie, Ke Li, Chao Ma and 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.

2018

(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.

2017

(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.

2010-2016

(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.

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