WANG XingjianAssociate Professor

Tel: (+86) 010-62791804

Email: xingjianwang@tsinghua.edu.cn

Address: Institute of Gas Turbine, Department of Energy and Power Engineering, Tsinghua University, Haidian District, Beijing 100084, China

Education

  • Ph.D. in Mechanical Engineering, 2016 

   Georgia Institute of Technology - Atlanta, Georgia, USA 

  • B.S. in Thermal Science and Energy Engineering, 2010 

   University of Science and Technology of China (USTC) - Hefei, China

Professional Experience

  • 2021/06-present, Assistant Professor, Tsinghua University

  • 2019/08-2021/05: Assistant Professor, Florida Institute of Technology

  • 2018/08-2019/07: Research Engineer II, Georgia Institute of Technology

  • 2016/08-2018/07: Postdoctoral Fellow, Georgia Institute of Technology

  • 2016/05-2016/08: Mechanical Engineer Intern, GE Global Research Center

Honors and Awards

  • Best paper award in ILASS Asia 2020

  • Front Cover paper in June issue of Physics of Fluids, 2019

  • Statistics in Physical Engineering Sciences Award by American Statistical Society, 2019

  • Multiple articles featured as Editor’s Pick by Physics of Fluids

  • Best presentation paper in ILASS Americas, 2018

  • National Scholarship, 2009

  • CASC Fellowship, 2008

Research Areas

  • Numerical modeling and computational science

  • Data Sciences in Engineering

  • High-fidelity simulation of complex fluid flows and combustion

  • Supercritical fluids

Professional Service

  • Member of AIAA High Speed Air Breathing Propulsion Technical Committee

  • Invited Reviewer of journals including AIAA J, Combust Flame, JPP, JFM, JCP, POF, Fuel, etc.

Professional Affiliations

  • The Combustion Institute

  • American Institute of Aeronautics and Astronautics (AIAA)

  • American Society of Mechanical Engineering (ASME)

  • Institute for Liquid Atomization and Spray Systems (ILASS)

  • American Physical Society (APS-DFD)

Selected Publications

1. H. Huo, X. Wang, and V. Yang, "A general study of counterflow diffusion flames at subcritical and supercritical conditions: Oxygen/hydrogen mixtures," Combustion and Flame, Vol. 161, No. 12 (2014), pp. 3040-3050.

2. X. Wang, H. Huo, and V. Yang, "Counterflow diffusion flames of oxygen and n-alkane hydrocarbons (CH4-C16H34) at subcritical and supercritical conditions," Combustion Science and Technology Vol. 187, No. 1-2 (2015), pp. 60-82.

3. X. Wang and V. Yang, "Supercritical mixing and combustion of liquid-oxygen /kerosene bi-swirl injectors ," Journal of Propulsion and Power, Vol. 33, No. 2 (2017), pp. 316-322.

4. X. Wang, H. Huo, Y. Wang, and V. Yang, “Comprehensive study of cryogenic fluid dynamics of swirl injectors at supercritical conditions,” AIAA Journal, Vol. 55, No. 9 (2017), pp. 3109-3119.

5. X. Wang, Y. Wang, and V. Yang, "Geometric effects on liquid oxygen/kerosene bi-swirl injector flow dynamics at supercritical conditions," AIAA Journal, Vol. 55, No. 10 (2017), pp. 3467-3475.

6. X. Wang, Y. Li, Y. Wang, and V. Yang, "Near-field flame dynamics of liquid oxygen/kerosene bi-swirl injectors at supercritical conditions," Combustion and Flame, Vol.190 (2018), pp. 1-11.

7. Y. Wang, X. Wang, V. Yang, “Evolution and transition mechanisms of internal swirling flows with tangential entry,” Physics of Fluids Vol. 30, No. 1 (2018), pp. 013601 (Editor’s Pick)

8. S. Mak, C. Sung, X Wang, S. Yeh, Y. Chang, R. Joseph, V. Yang, C.F. Wu, “An efficient surrogate model for emulation and physics extraction of large eddy simulations,”  Journal of the American Statistical Association, 113 No. 524 (2018), 1443-1456. SPES Award

9. S.-T. Yeh, X. Wang*, C. Sung, S. Mak, Y. Chang, V. R. Joseph, V. Yang, and C.F. Wu, "Common proper orthogonal decomposition-based spatiotemporal emulator for design exploration," AIAA Journal, Vol. 56, No. 6 (2018), pp. 2429-2442.

10. X. Wang, H. Huo, U. Unnikrishnan, and V. Yang, “A systematic approach to high-fidelity modeling and efficient simulation of supercritical fluid mixing and combustion,” Combustion and Flame, Vol. 195 (2018), pp. 203-215.

11. L. Zhang, X. Wang, Y. Li, S.-T. Yeh, and V. Yang, "Supercritical flow dynamics in a gas-centered liquid-swirl coaxial injector," Physics of Fluid, Vol. 30 (2018) 075106 (Editor’s Pick)

12. X. Wang, L. Zhang, Y. Li, S.-T. Yeh, and V. Yang, "Supercritical combustion of gas-centered liquid-swirl coaxial injectors for staged-combustion engines," Combustion and Flame, Vol. 197 (2018), pp. 204-214.

13. X. Wang, S.-T. Yeh, Y.-H. Chang, and V. Yang, “A high-fidelity design methodology using LES-based simulation and POD-based emulation: a case study of swirl injectors,” Chinese Journal of Aeronautics, Vol. 31 No. 9 (2018), pp. 1855-1869.

14. Y. Wang, X. Chen, X. Wang, and V. Yang, “Vaporization of liquid droplet with large deformation and high mass transfer rate, II: variable-density, variable-property case,” Journal of Computational Physics, Vol. 394 (2019), pp. 1-17

15. X. Wang, Y. Wang, and V. Yang, “Three-dimensional flow dynamics and mixing in a gas-centered liquid-swirl coaxial injector at supercritical pressure,” Physics of Fluids, Vol. 31, (2019) 065109. FRONT COVER

16. Y.-H. Chang, L. Zhang, X. Wang, S.-T. Yeh, S. Mak, C.L. Sung, C.F.J. Wu, and V. Yang, “Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for spatiotemporally evolving flow dynamics prediction,” AIAA Journal, Vol. 57 No. 12 (2019), pp. 5269-5280

17. S. Yang, X. Wang, H. Huo, W. Sun, and V. Yang, “An Efficient Finite-Rate Chemistry Model for a Preconditioned Compressible Flow Solver and its Comparison with the Flamelet/Progress-Variable Model,” Combustion and Flame, Vol. 210 (2019), pp. 172-182

18. S. Yang, X. Wang, W. Sun, and V. Yang, “Comparison of Finite Rate Chemistry and Flamelet/Progress-Variable Models: Sandia Flames and the Effect of Differential Diffusion,” Combustion Science and Technology, Vol. 192, No. 7 (2020), pp. 1137-1159.

19. X. Wang, P. Lafon, D. Sundaram, and V. Yang, “Liquid vaporization under thermodynamic phase non-equilibrium condition at the gas-liquid interface,” Science China Technological Sciences, Vol. 63, No. 12 (2020) pp. 2649-2656.

20. X. Wang*, Y.H. Chang, Y. Li, V. Yang*, and Y.H. Su, “Surrogate-based modeling for emulation of supercritical injector flow and combustion,” Proceedings of the Combustion Institute, Vol.38, No. 4 (2021) pp. 6393-6401

21. U. Unnikrishnan, H. Huo, X. Wang, and V. Yang, “Subgrid scale modeling considerations for large eddy simulation of supercritical turbulent mixing and combustion,”. Physics of Fluids, Vol. 33, No. 7, (2021), pp. 075112.

22. T. Liu, X. Wang*, and V. Yang*, “Flow dynamics of shear-coaxial cryogenic nitrogen jets under supercritical conditions with and without acoustic excitations,” Physics of Fluids, Vol. 33, No. 7, (2021), pp. 076111

23. Y.H. Chang, X. Wang, L. Zhang, Y. Li, S. Mak, C.F.J. Wu, and V. Yang, “An efficient reduced-order model CKSPOD for emulation of spatiotemporally evolving flows,”, AIAA Journal, Vol.59, No. 9 (2021), pp. 3291–3303

24. P. Milan, J.-P. Hickey, X. Wang, and V. Yang, “Deep-learning accelerated calculation of real-fluid properties in numerical simulation of complex flowfields,” Journal of Computational Physics, Vol. 444 (2021), 110567