WANG XingjianPh.D. Associate Professor

Email: xingjianwang@tsinghua.edu.cn

Address: Department of Energy and Power Engineering Tsinghua University

EDUCATION

· Ph.D. in Mechanical Engineering, 2016

  Georgia Institute of Technology - Atlanta, Georgia    

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

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

PROFESSIONAL EXPERIENCE

· Associate Professor, Tsinghua University, 2023-present

· Assistant Professor, Tsinghua University, 2021-2023

· Assistant Professor, Florida Institute of Technology, 2019-2021

· Research Engineer II, Georgia Institute of Technology, 2018-2019

· Postdoctoral Fellow, Georgia Institute of Technology, 2016-2018

· Mechanical Engineer Intern, GE Global Research Center, 2016

HONORS AND AWARDS

· Best paper award in ILASS Asia 2020,

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

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

· Best presentation paper in ILASS Americas, 2018

“Spatial-temporal flow dynamics prediction with large design space via data-driven analysis and LES-based surrogate model”

Research AREAs & Projects

· Data Sciences in Engineering

· High-fidelity simulation of supercritical fluid flows and combustion

· Data-enabled injector design

· Low-emission carbon-neural combustor design

· A total of 10 externally funded research projects, with more than 12M CNY to date in personal research funding

TEACHING EXPERIENCE

· Fluid Mechanics, 2022-present, Tsinghua University

· Data Science in Fluid Mechanics, 2023-present, Tsinghua University

· Engineering Thermodynamics I & II, 2019-2021, Florida Institute of Technology

· Thermodynamic and Fluids Fundamentals, Summer 2017, Georgia Institute of Technology

PROFESSIONAL SERVICE

· Editor of Machine Learning in Science, Technology, Engineering, and Mathematics (MLSTEM) by Walter De Gruyter publishing

· Editorial Service

- Associate Editor, AIAA Journal

- Editorial member of Propulsion and Energy

- Editorial member of HangKong Xuebao

· Committee Member:

- AIAA High Speed Air Breathing Propulsion Technical Committee

- Chinese Engineering Thermophysics, Combustion division, subcommittee chair, 2022-2024

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)

PUBLICATIONS

Books:

1. “Emulation of Complex Fluid Flows: Projection-Based Reduced-Order Modeling and Machine Learning,” De Gruyter publishing, Authors: Xingjian Wang and Vigor Yang

2. “Liquid Rocket Injectors”  coauthored with Profs. Vigor Yang and Xiaodong Chen, to be published by AIAA

Journal Articles:

1. R Zuo, L Wang, X Wang*, ”Differential diffusion effect on near-field characteristics of hydrogen-enriched oxy-methane flames,” International Journal of Hydrogen Energy 144 (2025), p. 445-457

2. T Wan, L. Chen, X. Wang*, “Assessment and data-driven modeling of subgrid-scale thermophysical properties in supercritical channel flows,” International Journal of Heat and Mass Transfer, 247 (2025): 127184

3. M. Zhou, R. Zuo, C.-L. Sung, Y. Tong, X. Wang*, “Region-optimal Gaussian process surrogate model via Dirichlet process for cold-flow and combustion emulations,” Computer Methods in Applied Mechanics and Engineering 439 (2025): 117894

4. T. Wan, X. Wang*, Y. Jin, P. Zhao*, “Effects of large density variations on near-wall turbulence and heat transfer in channel flow at supercritical pressure,” Journal of Fluid Mechanics, 1007 (2025): A68

5. S. Ding, C. Ni, X. Chu, Q. Lu, X. Wang*, “Reduced-order modeling via convolutional autoencoder for combustion of hydrogen/methane fuel blends,” Combustion and Flame, 274 (2025): 113981

6. T. Wan, P. Zhao, X. Wang*, “Turbulence anisotropy in fully developed channel flow at supercritical pressure,” International Journal of Heat and Mass Transfer, 241 (2025): 126734

7. S. Ding, W. Wang, X. Wang*, “Spray characteristics of axial-vaned slinger atomizer in air crossflow,” Applied Thermal Engineering, 261 (2025): 125107  

8. T Wan, M Zhou, P Zhao, X Wang*, “Challenges in the modeling and simulation of turbulent supercritical fluid flows and heat transfer,” Propulsion and Energy, 1 (2025):6

9. L Zhang, X Chu, S Ding, M Zhou, C Ni, X Wang*, “Surrogate Modeling of Hydrogen-Enriched Combustion Using Autoencoder-Based Dimensionality Reduction,” Processes 13 (4) (2025): 1093

10. J. Geng, H. Qi, J. Li, X. Wang*, “Local surrogate modeling for spatial emulation of gas-turbine combustion via similarity-based sample processing,” Journal of Engineering for Gas Turbines and Power, 146(10) (2024): 101019

11. C. Ni, S. Ding, J. Li, X. Chu, Z. Ren, X. Wang*, “Projection-based reduced order modeling of multi-species mixing and combustion,” Physics of Fluids 36 (2024): 077168

12. S. Ding, L. Wang, Q. Lu, X. Wang*, “Data-driven surrogate modeling and optimization of supercritical jet into supersonic crossflow,” Chinese Journal of Aeronautics, 2024, 37(12): 139-155

13. S. Ding, J. Li, X. Wang*, “Dynamics of elevated dodecane jets in crossflow at supercritical pressure,” Physics of Fluids, 36 (2024), 075135

14. C.L. Sung, W. Wang, L. Ding, X Wang, “Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems,” Technometrics, Vol. 66:3(2024), p. 406-421

15. L. Wang , H. Xiao , B. Yang , X. Wang*, “Steam dilution effect on laminar flame characteristics of hydrogen-enriched oxy-combustion,” International Journal of Hydrogen Energy, Vol. 71 (2024), p. 375–386

16. M. Zhou, C. Ni, and X. Wang*, “Modeling of thermophysical properties and vapor-liquid equilibrium using Gaussian process regression,” International Journal of Heat and Mass Transfer, 219 (2024) 124888

17. S. Ding, J. Li, L. Wang, and X. Wang*, “Flow Dynamics of a Dodecane Jet in Oxygen Crossflow at Supercritical Pressures,” AIAA Journal, Vol. 62 No. 5 (2024), p. 1840-1853

18. J. Geng, X. Wang, J. Liu, F. Teng, and H. Qi, “Surrogate model of combustor flow mixing process,” Journal of Tsinghua University, Vol. 63, No. 4 (2023), p. 633-641

19. M. Zhou, S. Ding, and X. Wang*, “Review of subgrid models of equation of state in the large eddy simulation of transcritical and supercritical flows andcombustion,” Journal of Tsinghua University, Vol. 63, No. 4 (2023), p. 473-486

20. M. Zhou, W. Chen, X. Su, C.-L. Sung, X. Wang*, and Z. Ren, “Data-Driven Modeling of General Fluid Density Under Subcritical and Supercritical Conditions,”, AIAA Journal, 2023, Vol. 61, No. 4 (2023), p. 1519-1531

21. C. Ni, X. Wang*, H. Liu, K. Zhang, X. Zheng, and Y. Duan, “Physics-informed deep learning for thermophysical properties of carbon dioxide,” Journal of Thermophysics and Heat Transfer, Vol. 37, No. 2 (2023), p. 382-393

22. S. Ding, C. Ni, W. Wang*, “Nearfield flow characteristics of kerosene injection at supercritical pressures,” Journal of Propulsion Technology, 2022

23. X. Wang*, T. Liu, D. Ma, and V. Yang, “Linear stability of real-fluid mixing layers at supercritical pressures,” Physics of Fluids, Vol. 34 (2022), 084106

24. L. Zhang, Y. Li, X. Wang, and V. Yang, “Effect of Recess Length on Flow Dynamics in Gas-Centered Liquid-Swirl Coaxial Injectors under Supercritical Conditions,” Aerospace Science and Technology, Vol. 128 (2022), 107757

25. 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

26. 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

27. 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

28. 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.

29. 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

30. 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.

31. 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.

32. 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

33. 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, AIAA Journal, Vol. 57 No. 12 (2019), 5269-5280

34. 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)

35. 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

36. 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.

37. 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.

38. 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)

39. 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.

40. 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.

41. 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)

42. 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)

43. 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.

44. 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.

45. 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.

46. X. Wang and V. Yang, "Supercritical mixing and combustion of liquid-oxygen /kerosene bi-swirl injectors ," Journal of Propulsion and Power, 33(2) (2017), p. 316-322.

47. 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, 187(1-2) (2015), p. 60-82.

48. 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, 161(12) (2014), p. 3040-3050.