I am a professor at the Institute of Mechanics, Chinese Academy of Sciences and a Ph.D. supervisor at the University of Chinese Academy of Sciences (UCAS). I was selected for China's National Natural Science Fund for Excellent Oversea Young Scientists, and before returning to China, I worked extensively in the United Kingdom, where I served as the Principal Scientist at the Science and Technology Facilities Council (STFC), chaired the UK Fluids Network High-Speed CFD Special Interest Group, and held a Leverhulme Visiting Fellowship.

My research focuses on high-order numerical methods, high-performance computing, hypersonic aerothermodynamics, and the underlying mechanisms of complex compressible flows. These efforts aim to advance both the fundamental understanding and practical modeling capabilities of fluid dynamics in extreme conditions.

Specifically, I have worked on:

• Developing high-order, low-dissipation numerical schemes to improve the accuracy and robustness of CFD simulations for shock waves, turbulence, and combustion;

• Building scalable, high-efficiency CFD codes compatible with modern CPU/GPU heterogeneous computing platforms;

• Investigating key physical phenomena in hypersonic flows, such as shock/boundary layer interactions, separation, and non-equilibrium effects;

• Translating physical insights into improved engineering models to support aerospace vehicle design and propulsion system optimization.

I have led multiple national and international research projects, including those funded by the National Natural Science Foundation of China, the European PRACE program, the UK Royal Society, EPSRC and STFC. I have published over 40 peer-reviewed papers in top journals such as Journal of Fluid Mechanics, Journal of Computational Physics, and Computer Physics Communications.

Many of my research outcomes have been adopted in both academia and industry. For example:

• The CFD code and high-order methods I developed (ASTR) have been widely used by researchers working on compressible turbulence;

• My framework for analyzing shock/boundary layer interactions has been accepted as a standard reference in the field;

• My turbulence models have been implemented by Rolls-Royce in their aeroengine development;

• My machine-learning-based turbulence modeling framework has been adopted by Safran in turbine design.

I am currently looking for motivated students and researchers to join my team. If you are passionate about fluid dynamics, numerical modeling, or aerospace applications—and have a strong background in mathematics, physics, or scientific computing—I warmly welcome you to apply for a Master's, Ph.D., or Postdoctoral position in my group.

Sep. 2005 – Jun. 2012

Ph.D. in Engineering, School of Energy and Power Engineering, Beihang University

Oct. 2001 – Jul. 2005

B.Eng., School of Energy and Power Engineering, Beihang University

B.Sc., School of Science, Beihang University

   

Nov. 2024 – Present

Professor, Institute of Mechanics, Chinese Academy of Sciences

Ph.D. Supervisor of University of Chinese  Academy of Sciences

Jul. 2023 – Nov. 2024

Principal Scientist, Science and Technology Facilities Council (STFC), United Kingdom

Jan. 2015 – Jul. 2023

Senior Research Scientist, Daresbury Laboratory, United Kingdom

May 2013 – May 2014

Leverhulme Visiting Fellow, University of the West of England, United Kingdom

Jun. 2012 – Jan. 2015

Postdoctoral Researcher, Beihang University

   

1] M. Lin, J. Fang*, X. Deng, X. Gu, and Z. X. Chen*, Direct numerical simulation of inflow boundary-layer turbulence effects on cavity flame stabilisation in a model scramjet combustor, Aerospace Science and Technology, vol. 165, p. 110463, Oct. 2025, doi: 10.1016/j.ast.2025.110463.
[2] C. Luo, J. Fang*, and L. Fang*, Minimum scale and spatial resolution requirement for direct numerical simulations of compressible turbulence, Journal of Computational Physics, vol. 534, p. 114014, Aug. 2025, doi: 10.1016/j.jcp.2025.114014.
[3] F. Liu, Z. Yang, P. Lv, H. Liu, J. Fang*, and Y. Zhou, Turbulent-nonturbulent interfaces in spatially developing compressible turbulent boundary layers, Phys. Rev. E, vol. 111, no. 6, p. 065101, Jun. 2025, doi: 10.1103/PhysRevE.111.065101.
[4] J. Fang*, S. Laizet, and A. Skillen, A high-order finite-difference solver for direct numerical simulations of magnetohydrodynamic turbulence, Computer Physics Communications, vol. 307, p. 109400, Feb. 2025, doi: 10.1016/j.cpc.2024.109400.
[5] W. Liu, Z. Song, and J. Fang*, NNPred: Deploying neural networks in computational fluid dynamics codes to facilitate data-driven modeling studies, Computer Physics Communications, vol. 290, p. 108775, Sep. 2023, doi: 10.1016/j.cpc.2023.108775.
[6] X. Shao, J. Fang, and L. Fang*, Non-equilibrium dissipation laws in a minimal two-scale wake model, Physics of Fluids, vol. 35, no. 8, p. 085105, Aug. 2023, doi: 10.1063/5.0160187.
[7] X. Chen, J. Fang*, C. Moulinec, and D. R. Emerson, A High-Order Hybrid Numerical Scheme for Hypersonic Flow Over A Blunt Body, Flow Turbulence Combust, vol. 110, no. 4, pp. 799–833, May 2023, doi: 10.1007/s10494-022-00389-9.
[8] W. Liu, J. Fang*, S. Rolfo, C. Moulinec, and D. R. Emerson, On the improvement of the extrapolation capability of an iterative machine-learning based RANS Framework, Computers & Fluids, vol. 256, p. 105864, Apr. 2023, doi: 10.1016/j.compfluid.2023.105864.
[9] J. Fang, X. Deng, and Z. X. Chen*, Direct numerical simulation of supersonic internal flow in a model scramjet combustor under a non-reactive condition, Physics of Fluids, vol. 35, no. 2, p. 026103, Feb. 2023, doi: 10.1063/5.0137884.
[10] T. Guo, J. Fang, S. Zhong*, and C. Moulinec, Direct numerical simulations of a turbulent channel flow developing over convergent–divergent riblets, International Journal of Heat and Fluid Flow, vol. 98, p. 109069, Dec. 2022, doi: 10.1016/j.ijheatfluidflow.2022.109069.
[11] R. S. Cant*, U. Ahmed, J.Fang, N. Chakarborty, G. Nivarti, C. Moulinec, D. R.Emerson, An unstructured adaptive mesh refinement approach for computational fluid dynamics of reacting flows, Journal of Computational Physics, vol. 468, p. 111480, Nov. 2022, doi: 10.1016/j.jcp.2022.111480.
[12] T. Guo, J. Fang, J. Zhang, and X. Li*, Investigation of the secondary flow by convergent–divergent riblets in a supersonic turbulent boundary layer over a compression ramp, Physics of Fluids, vol. 34, no. 10, p. 106112, Oct. 2022, doi: 10.1063/5.0123482.
[13] P.-F. Yang, J. Fang, L. Fang, A. Pumir*, and H. Xu, Low-order moments of the velocity gradient in homogeneous compressible turbulence, J. Fluid Mech., vol. 947, p. R1, Sep. 2022, doi: 10.1017/jfm.2022.622.
[14] T. Guo, J. Fang, J. Zhang, and X. Li*, Direct numerical simulation of shock-wave/boundary layer interaction controlled with convergent–divergent riblets, Physics of Fluids, vol. 34, no. 8, p. 086101, Aug. 2022, doi: 10.1063/5.0102261.
[15] T. Guo, J. Fang, S. Zhong*, and C. Moulinec, Energy-based drag decomposition analyses for a turbulent channel flow developing over convergent–divergent riblets, Physics of Fluids, vol. 34, no. 2, p. 025115, Feb. 2022, doi: 10.1063/5.0080867.
[16] W. Liu, J. Fang*, S. Rolfo, C. Moulinec, and D. R. Emerson, An iterative machine-learning framework for RANS turbulence modeling, International Journal of Heat and Fluid Flow, vol. 90, p. 108822, Aug. 2021, doi: 10.1016/j.ijheatfluidflow.2021.108822.
[17] F. Liu*, L. Fang, and J. Fang, Non-equilibrium turbulent phenomena in transitional flat plate boundary-layer flows, Appl. Math. Mech.-Engl. Ed., vol. 42, no. 4, pp. 567–582, Apr. 2021, doi: 10.1007/s10483-021-2728-9.
[18] J. Fang*, A. A. Zheltovodov, Y. Yao, C. Moulinec, and D. R. Emerson, On the turbulence amplification in shock-wave/turbulent boundary layer interaction, J. Fluid Mech., vol. 897, p. A32, Aug. 2020, doi: 10.1017/jfm.2020.350.
[19] J. Fang, Y. Gao*, Y. Liu, L. Lu, Y. Yao, and C. Le Ribault, Direct numerical simulation of a tip-leakage flow in a planar duct with a longitudinal slit, Physics of Fluids, vol. 31, no. 12, p. 125108, Dec. 2019, doi: 10.1063/1.5124163.
[20] H. Tong, J. Fang, J. Guo, K. Lin, and Y. Wang*, Numerical Simulation of Unsteady Aerodynamic Performance of Novel Adaptive Airfoil for Vertical Axis Wind Turbine, Energies, vol. 12, no. 21, p. 4106, Oct. 2019, doi: 10.3390/en12214106.
[21] J. Fang, F. Gao*, C. Moulinec, and D. R. Emerson, An improved parallel compact scheme for domain‐decoupled simulation of turbulence, Numerical Methods in Fluids, vol. 90, no. 10, pp. 479–500, Aug. 2019, doi: 10.1002/fld.4731.
[22] L. Fang, H. Zhao, W. Ni, J. Fang*, and L. Lu, Non-equilibrium turbulent phenomena in the flow over a backward-facing ramp, Appl. Math. Mech.-Engl. Ed., vol. 40, no. 2, pp. 215–236, Feb. 2019, doi: 10.1007/s10483-019-2428-6.
[23] W. Ni, L. Lu, J. Fang*, C. Moulinec, D. R. Emerson, and Y. Yao, Flow separation control over a rounded ramp with spanwise alternating wall actuation, Physics of Fluids, vol. 31, no. 1, p. 015101, Jan. 2019, doi: 10.1063/1.5055948.
[24] 杨光, 方剑, 陆利蓬, 姚宇峰, 刘超群, MVG控制斜激波/湍流边界层干涉的大涡模拟, 航空动力学报, vol. 33, no. 7, Jul. 2018.
[25] W. Ni, L. Lu, J. Fang*, C. Moulinec, and Y. Yao, Direct numerical simulation of turbulent channel flow with spanwise alternatively distributed strips control, Mod. Phys. Lett. B, vol. 32, no. 12n13, p. 1840004, May 2018, doi: 10.1142/S0217984918400043.
[26] W. Ni, L. Lu, J. Fang*, C. Moulinec, and Y. Yao, Large-Scale Streamwise Vortices in Turbulent Channel Flow Induced by Active Wall Actuations, Flow Turbulence Combust, vol. 100, no. 3, pp. 651–673, Apr. 2018, doi: 10.1007/s10494-017-9871-5.
[27] J. Fang, Y. Yao, A. A. Zheltovodov, and L. Lu*, Investigation of Three-Dimensional Shock Wave/Turbulent-Boundary-Layer Interaction Initiated by a Single Fin, AIAA Journal, vol. 55, no. 2, pp. 509–523, Feb. 2017, doi: 10.2514/1.J055283.
[28] L. Fang, Y. J. Zhang, J. Fang*, and Y. Zhu, Relation of the fourth-order statistical invariants of velocity gradient tensor in isotropic turbulence, Phys. Rev. E, vol. 94, no. 2, p. 023114, Aug. 2016, doi: 10.1103/PhysRevE.94.023114.
[29] G. Yang, Y. Yao, J. Fang*, T. Gan, Q. Li, and L. Lu, Large-eddy simulation of shock-wave/turbulent boundary layer interaction with and without SparkJet control, Chinese Journal of Aeronautics, vol. 29, no. 3, pp. 617–629, Jun. 2016, doi: 10.1016/j.cja.2016.04.001.
[30] W. Ni, L. Lu, C. Ribault, and J. Fang*, Direct Numerical Simulation of Supersonic Turbulent Boundary Layer with Spanwise Wall Oscillation, Energies, vol. 9, no. 3, p. 154, Mar. 2016, doi: 10.3390/en9030154.
[31] Z. C. Qin, L. Fang*, and J. Fang, How isotropic are turbulent flows generated by using periodic conditions in a cube?, Physics Letters A, vol. 380, no. 13, pp. 1310–1317, Mar. 2016, doi: 10.1016/j.physleta.2016.02.001.
[32] J. Fang, Y. Yao, A. A. Zheltovodov, Z. Li, and L. Lu*, Direct numerical simulation of supersonic turbulent flows around a tandem expansion-compression corner, Physics of Fluids, vol. 27, no. 12, p. 125104, Dec. 2015, doi: 10.1063/1.4936576.
[33] J. Fang, Y. Yao, Z. Li, and L. Lu*, Investigation of low-dissipation monotonicity-preserving scheme for direct numerical simulation of compressible turbulent flows, Computers & Fluids, vol. 104, pp. 55–72, Nov. 2014, doi: 10.1016/j.compfluid.2014.07.024.
[34] L. Ma, L. Lu, J. Fang*, and Q. Wang, A study on turbulence transportation and modification of Spalart–Allmaras model for shock-wave/turbulent boundary layer interaction flow, Chinese Journal of Aeronautics, vol. 27, no. 2, pp. 200–209, Apr. 2014, doi: 10.1016/j.cja.2014.02.008.
[35] J. Fang, Z. Li, and L. Lu*, An Optimized Low-Dissipation Monotonicity-Preserving Scheme for Numerical Simulations of High-Speed Turbulent Flows, J Sci Comput, vol. 56, no. 1, pp. 67–95, Jul. 2013, doi: 10.1007/s10915-012-9663-y.
[36] J. Fang, L.-P. Lu*, and L. Shao, Heat transport mechanisms of low Mach number turbulent channel flow with spanwise wall oscillation, Acta Mech Sin, vol. 26, no. 3, pp. 391–399, Jun. 2010, doi: 10.1007/s10409-010-0343-6.
[37] J. Fang and L. Lu*, LARGE EDDY SIMULATION OF COMPRESSIBLE TURBULENT CHANNEL FLOW WITH ACTIVE SPANWISE WALL FLUCTUATIONS, Mod. Phys. Lett. B, vol. 24, no. 13, pp. 1457–1460, May 2010, doi: 10.1142/S0217984910023864.
[38] J. Fang, L. Lu*, and L. Shao, Large eddy simulation of compressible turbulent channel flow with spanwise wall oscillation, Sci. China Ser. G-Phys. Mech. Astron., vol. 52, no. 8, pp. 1233–1243, Aug. 2009, doi: 10.1007/s11433-009-0165-3.

UK Research and Innovation (UKRI) In-year  Award, 2023

Outstanding Postdoctoral Researcher, Beihang University, 2014