专著
1. “Emulation of Complex Fluid Flows: Projection-Based Reduced-Order Modeling and Machine Learning,” 德古意特出版社, 作者: Xingjian Wang and Vigor Yang
已发表的期刊论文
1. Q. Lu, L. Zhang, S. Ding, Z. Weng, W. Ding*, X. Wang*, “Local multi-fidelity surrogates for data-efficient parametric studies of combustion problems,” submitted to Proceedings of the Combustion Institute, 2026 (accepted to present at the 41st International Symposium on Combustion, Kyoto, Japan in July 2026)
2. R. Zuo, M. Zhou, G. Ribert, X Wang*, “Optimizing progress variable for supercritical flames using an encoder residual artificial neural network,” submitted to Proceedings of the Combustion Institute, 2026 (accepted to present at the 41st International Symposium on Combustion, Kyoto, Japan in July 2026)
3. M. Zhou, Z. Liu, T. Wan, X Wang*, “Direct numerical simulation of supercritical turbulent combustion of CH₄/O₂ shear coaxial injector,” submitted to Proceedings of the Combustion Institute, 2026 (accepted to present at the 41st International Symposium on Combustion, Kyoto, Japan in July 2026)
4. S. Ding, L. Wang, Z. Weng, Q. Lu, C.-Y. Wen, X Wang*, “Global linear stability analysis framework for supercritical fluid flows,” Journal of Fluid Mechanics, in revision.
5. G. Yang, Guocheng, Q. Xu, Ni Liu, W. Wu, M. Zhou, and X Wang*, "Accurate prediction of thermodynamic properties of R1234yf refrigerant using Gaussian process regression models," International Journal of Refrigeration (2026): 106907.
6. Z. Liu, M. Zhou, C.L. Sung, Y. Zhang, X Wang*, “Efficient and accurate machine learning of thermophysical properties from small data,” Journal of Thermophysics and Heat Transfer, accepted, in press
7. T. Wan, P.X. Jiang, P. Zhao, X Wang*, “Enthalpy transformation for wall-bounded supercritical flows with heat transfer,” Journal of Fluid Mechanics, 1026 (2026), A36
8. Z. Yu, L. Wang, X. Liu, X. Wang*, “Surrogate model-based optimization for mitigating thermoacoustic instability in a partially premixed swirl combustor,” Applied Thermal Engineering, 279 (2025) 127969
9. Y Tong, Q Lu, S Ding, X Wang*, “A parametric reduced-order model based on tensor decomposition for unstructured mesh data,” Journal of Computational Physics, 541 (2025) 114300
10. 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
11. 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
12. 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
13. M Zhou, R Zuo, CL 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
14. 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
15. 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, Vol. 1007 (2025): A68
16. 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
17. S. Ding, W. Wang, X. Wang*, “Spray characteristics of axial-vaned slinger atomizer in air crossflow,” Applied Thermal Engineering, 261 (2025): 125107
18. 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
19. 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, 077168 (2024)
20. 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
21. S. Ding, J. Li, X. Wang*, “Dynamics of elevated dodecane jets in crossflow at supercritical pressure,” Physics of Fluids, 36 (2024), 075135
22. 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
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. S. Ding, C. Ni, W. Wang*, “Nearfield flow characteristics of kerosene injection at supercritical pressures,” Journal of Propulsion Technology, 2022
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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.
37. 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
38. 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.
39. 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.
40. 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
41. 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
42. 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）
43. 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
44. 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.
45. 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.
46. 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)
47. 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.
48. 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.
49. 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）
50. 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)
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
