流体力学基础研究：湍流的数值模拟方法；非均衡湍流的机理与模型；智能流体力学

流体力学应用基础研究：风能中的流体力学问题；河流动力学；血流动力学

2004-09--2010-07   中国科学院大学   理学博士
2000-09--2004-07   兰州大学   大学本科

   

2019-09~现在, 中国科学院力学研究所, 研究员
2017-10~2019-06,纽约州立大学石溪分校, Research Assistant Professor (兼职)
2016-08~2017-09,纽约州立大学石溪分校, Lecturer (兼职)
2016-06~2019-08,纽约州立大学石溪分校, Senior Research Scientist
2014-06~2016-06,明尼苏达大学, Research Associate
2010-10~2014-06,明尼苏达大学, Postdoc

2025-10-01-今,《Journal of Fluids Engineering》期刊, 副主编
2025-07-01-今,《力学学报》期刊, 编委
2025-07-01-今,中国力学学会流体力学专委会, 秘书
2025-06-01-今,《Wind Energy Science》期刊, 副主编
2025-06-01-今,《Boundary-Layer Meteorology》期刊, 编委
2022-08-31-今,中国空气动力学会智能空气动力学专业组, 组员
2021-09-01-2025-07-01,《力学快报（英文）》, 执行副主编

纽约州立大学石溪分校

1. MEC 102: Engineering Computing and Problem Solving (undergraduate), 2018, 2019 Spring

2. MEC 510: Object-Oriented Programming for Scientists and Engineers (graduate), 2016, 2017, 2018 Fall

3. MEC 524: Computational Methods for Fluid Mechanics and Heat Transfer (graduate), 2017 Spring

4. MEC 596: Projects in Mechanical Engineering (graduate), 2019 Spring

中国科学院大学

1. 高等流体力学（研究生），2024-2025年秋季学期

2. 低年级研讨课（本科生），2024年秋季学期

期刊论文 (‍‍∗ 通讯作者)  

1. Zhou Z, Zhang F, & Yang* X. A features-embedded-learning immersed boundary model for large-eddy simulation of turbulent flows with complex boundaries. Computers and Fluids, 2026, 319, 107247.
2. Dong G, & Yang* X. Impacts of blade designs on wake dynamics in tandem wind turbine configurations. Journal of Fluid Mechanics, 2026, 1040, A42.
3. Yang X, Luo Q, Zhang F, Zhang X, & He* G. Large-eddy simulation enhanced by machine learning: space-time correlations, wall models, and shape optimization. Fluid Dynamics Research, 2026, 58 (3), 035509.
4. Zhang F, Yang* X, & He G. A differentiable wall-modeled large-eddy simulation method for high-Reynolds number wall-bounded turbulent flows. Journal of Computational Physics, 2026, 557, 114835.
5. Liu X, Li Z, & Yang* X. PhyWakeNet: A dynamic wake model accounting for aerodynamic force oscillations. Wind Energy Science, 2026, 11 (3), 771-793.
6. Chen D, Li Q, Lin H, Ma G, & Yang* X. A data-driven method based on SCADA and large-eddy simulation for nacelle north offset diagnosis. Renewable Energy, 2026, 263, 125450.
7. Cheng A, Zhou* Z, Yang* X, & He G. A drag model for rough surfaces learned using feature importance-informed symbolic regression. Journal of Fluids Engineering, 2026, 148 (4), 041302.
8. Dong G, Qin J, Wu C, Xu C, & Yang* X. Reinforcement learning-enhanced genetic algorithm for wind farm layout optimization. Renewable Energy, 2026, 259, 125093.
9. Chen D, Li Q, Lin H, Cheng S, & Yang* X. A method using SCADA data for diagnosing wind turbines' anemometer systematic errors. Renewable Energy, 2026, 259, 125081.
10. Xu D, Li Z, Yang X, Hou P, Carmo B, & Mao* X. Data-driven modeling of wind farm wake flow based on multi-scale feature recognition. Renewable Energy, 2026, 256 (H), 124517. 
11. Yang* X, Sotiropoulos F, & Sorensen J. Wind farm fluid mechanics for high-penetration wind energy. Renewable and Sustainable Energy Reviews, 2026, 226 (C), 116260.
12. Li S, Zhou Z, Yang* X, He G, & Chen H. Flow statistics and similarity in rough-wall periodic hill flows. Physical Review Fluids, 2025, 10, 104608. 
13. Zhang Z, Anjiraki, GM,  Seyedzadeh H,  Sotiropoulos F,  Yang X, &  Khosronejad* A. Predicting equilibrium bed morphology of large-scale meandering rivers using a novel LES-trained machine learning approach. Journal of Advances in Modeling Earth Systems,  2025, 17, e2024MS004710.
14. Li Z, & Yang X. Self-consistent model for active control of wind turbine wakes. Journal of Fluid Mechanics, 2025, 1013, A36. 
15. Zhang F, Zhou Z, Yang* X, & He G. Knowledge-integrated additive learning for consistent near-wall modelling of turbulent flows. Journal of Fluid Mechanics (Rapids), 2025, 1011, R1. 
16. Li Q, Chen D, Lin H, & Yang* X. A review of diagnostic methods for yaw errors in horizontal axis wind turbines. Energies, 2025, 18 (3), 558. (Invited)
17. Zhou Z, Zhang X, He G, & Yang* X. A wall model for separated flows: embedded learning to improve a posteriori performance. Journal of Fluid Mechanics, 2025, 1002, A3. 
18. Zhang X, Zhang F, Li Z, Yang X, & He* G. Large-eddy simulation-based shape optimization for mitigating turbulent wakes of a bluff body using the regularized ensemble Kalman method. Journal of Fluid Mechanics, 2024, 1001, A31. 
19. Li Y, Zhang F, Li Z, & Yang* X. Impacts of inflow turbulence on the flow past a permeable disk. Journal of Fluid Mechanics, 2024, 999, A30. 
20. Zhou Z, Li S, He G, & Yang* X. A data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence. Journal of Computational Physics, 2024, 514, 113241. 
21. Li Z, Li Y, & Yang* X. Large eddy simulation and linear stability analysis of active sway control for wind turbine array wake. Physics of Fluids, 2024, 36, 075116. 
22. Yan X, Zhou Z, Cheng X, & Yang* X. Time integration schemes based on neural networks for solving partial differential equations on coarse grids. Communications in Computational Physics, 2024, 36, 1262-1306. 
23. Qin J, Liao F, Dong G, & Yang* X. Parallelization strategies for resolved simulations of fluid-structure-particle interactions. Applied Mathematics and Mechanics (English Edition), 2024, 45(5), 857-872. 
24. Li Z, & Yang* X. Resolvent-based motion-to-wake modelling of wind turbine wakes under dynamic rotor motion. Journal of Fluid Mechanics, 2024, 980, A48. 
25. Rivera-Arreba I, Li Z, Yang* X, & Bachynski-polić* E E. Comparison of the dynamic wake meandering model against large eddy simulation for horizontal and vertical steering of wind turbine wakes. Renewable Energy, 2024, 221, 109887. 
26. Wang Z, & Yang* X. Upward shift of wind turbine wakes in large wind farms. Energies, 2023, 16(24), 8051. 
27. Zhang F, Yang* X, & He G. Multiscale analysis of a very long wind turbine wake in an atmospheric boundary layer. Physical Review Fluids, 2023, 8, 104605.  
28. Wang Z, Dong G, Li Z, & Yang* X. Statistics of wind farm wakes for different layouts and ground roughness. Boundary-Layer Meteorology, 2023, 188, 285-320. 
29. Dong G, Qin J, Li Z, & Yang* X. Characteristics of wind turbine wakes for different blade designs. Journal of Fluid Mechanics, 2023, 965, A15. 
30. Zhou Z, Yang XIA X, Zhang F, & Yang* X. A wall model learned from the periodic hill data and the law of the wall. Physics of Fluids, 2023, 35, 055108. 
31. Zhang Y, Li Z, Liu X, Sotiropoulos F, & Yang* X. Turbulence in waked wind turbine wakes: similarity and empirical formulae. Renewable Energy, 2023, 209, 27-41. 
32. Li Y, Li Z, Zhou Z, & Yang* X. Large-eddy simulation of wind turbine wakes in forest terrain. Sustainability, 2023, 25(6), 5139.  
33. Khosronejad* A,  Limaye A B,  Zhang Z,  Kang S,  Yang X, &  Sotiropoulos F. On the morphodynamics of a wide class of large-scale meandering rivers: Insights gained by coupling LES with sediment-dynamics. Journal of Advances in Modeling Earth Systems,  2023, 15, e2022MS003257. 
34. Santoni C, Khosronejad A*, Yang X, Seiler P, & Sotiropoulos F. Coupling turbulent flow with blade aeroelastics and control modules in large-eddy simulation of utility-scale wind turbines. Physics of Fluids, 2023, 35, 015140. 
35. Li S, Zhou Z, Chen D, Yuan X, Guo Q, & Yang* X. Effects of wall topology on statistics of cube-roughened wall turbulence. Boundary-Layer Meteorology, 2023, 186, 305-336.
36. Zhou Z, Li Z, Yang* X, Wang S, & Xu D. Investigation of the wake characteristics of an underwater vehicle with and without a propeller. Ocean Engineering, 2022, 266, 113107. 
37. Li S, Yang* X, Yuan X, & Guo Q. Numerical Study on the Effect of Roughness Element Orientation on Turbulence Statistics. Acta Aerodynamica Sinica, 2022. (in Chinese)
38. Li Z, Liu X, & Yang* X. Review of turbine parameterization models for large-eddy simulation of wind turbine wakes. Energies, 2022, 15, 6533. (Invited; Feature paper)
39. Li S, Yang* X, & Lv Y. Predictive capability of the logarithmic law for roughness-modeled large-eddy simulation of turbulent channel flows with rough walls. Physics of Fluids, 2022, 34, 085112. 
40. Oaks W, Kang S, Yang X, & Khosronejad* A. Lagrangian dynamics of contaminant particles released from a point source in New York City. Physics of Fluids, 2022, 34, 073303. 
41. Li Z, Dong G, Qin J, Zhou Z, & Yang* X. Coherent flow structures in the wake of floating wind turbines induced by motions in different degrees of freedom. Acta Aerodynamica Sinica, 2022, 40(X), 1−9. (in Chinese)
42. Liu X, Li Z, Yang* X, Xu D, Kang S, & Khosronejad A. Large eddy simulation of wakes of waked wind turbines. Energies, 2022, 15(8), 2899. 
43. Kang* S, Kim Y, Lee J, Khosronejad A, & Yang X. Wake interactions of two horizontal axis tidal turbines in tandem. Ocean Engineering, 2022, 254, 111331.
44. Zhang F, Zhou Z, Zhang H, & Yang* X. A new single formula for the law of the wall and its application to wall-modeled large-eddy simulation. European Journal of Mechanics - B/Fluids, 2022, 94, 350-365. 
45. Chen D, Zhou Z, & Yang* X. A measure-correlate-predict model based on neural networks and frozen flow hypothesis for wind resource assessment. Physics of Fluids, 2022, 34, 045107. 
46. Zhou Z, Li B, Yang X, & Yang* Z. A robust super-resolution reconstruction model of turbulent flow data based on deep learning. Computers and Fluids, 2022, 239, 105382. 
47. Dong G, Qin J, Li Z, & Yang* X. An inverse method for wind turbine blade design with given distributions of load coefficients. Wind, 2022, 2, 175-191.
48. Qin J, Yang* X, & Li Z. Hybrid diffuse and sharp interface immersed boundary methods for particulate flows in the presence of complex boundaries. Communications in Computational Physics, 2022, 31, 1242-1271. 
49. Dong G, Li Z,  Qin J, & Yang* X. Predictive capability of actuator disk models for wakes of different wind turbine designs. Renewable Energy, 2022, 188, 269-281. 
50. Zhou Z, Li Z, He G, & Yang* X. Towards multi-fidelity simulation of flows around an underwater vehicle with appendages and propeller. Theoretical and Applied Mechanics Letters, 2022, 12, 100318. 
51. Dong G, Li Z, Qin J, & Yang* X. How far the wake of a wind farm can persist for? Theoretical and Applied Mechanics Letters, 2022, 12, 100313.
52. He X, & Yang* X. Effects of exercise on flow characteristics in human carotids. Physics of Fluids, 2022, 34, 011909.  (Featured article; Press Release; Reported by 10 News outlets including ScienMag, Bioengineer.org and Phys.org)
53. Li Z, Dong G, & Yang* X. Onset of wake meandering for a floating offshore wind turbine under side-to-side motion. Journal of Fluid Mechanics, 2022, 934, A29. 
54. Lv Y, Huang X, Yang X, Yang* X.I.A, Wall-model integrated computational framework for large-eddy simulations of wall-bounded flows. Physics of Fluids, 2021, 33, 125120.
55. Yang* X. Review of research on the simulation method and flow mechanism of a single horizontal-axis wind turbine wake. Chinese Journal of Theoretical and Applied Mechanics, 2021, 53(12): 3169-3178. (In Chinese)
56. Zhou Z, Wu T, & Yang* X. Reynolds number effect on statistics of turbulent flows over periodic hills. Physics of Fluids, 2021, 33, 105124. 
57. Zhou Z, He G, & Yang* X. Wall model based on neural networks for LES of turbulent flows over periodic hills. Physical Review Fluids, 2021, 6(5), 054610.
58. Kang* S, Khosronejad A, & Yang X. Turbulent flow characteristics around a non-submerged rectangular obstacle on the side of an open channel. Physics of Fluids, 2021, 33(4), 045106.
59. Li Z, & Yang* X. Large-eddy simulation on the similarity between wakes of wind turbines with different yaw angles. Journal of Fluid Mechanics, 2021, 921, A11.
60. Li Z, Zhang X, Wu T, Zhu L, Qin J, & Yang* X. Effects of slope and speed of escalator on the dispersion of cough-generated droplets from a passenger. Physics of Fluids, 2021, 33(4), 041701.
61. Liao F, & Yang* X. On the capability of the curvilinear immersed boundary method in predicting near-wall turbulence of turbulent channel flows. Theoretical and Applied Mechanics Letters, 2021, 11(4), 100279.
62. Li S, Yang* X, Jin G, & He G. Wall-resolved large-eddy simulation of turbulent channel flows with rough walls. Theoretical and Applied Mechanics Letters, 2021, 11(1), 100228.
63. Yang X, Milliren C, Kistner M, Hogg C, Marr J, Shen L, & Sotiropoulos* F. High- fidelity simulations and field measurements for characterizing wind fields in a utility-scale wind farm. Applied Energy, 2021, 281, 116115. 
64. Khosronejad* A, Herb W, Sotiropoulos F, Kang S, & Yang X. Assessment of Parshall flumes for discharge measurement of open-channel flows: A comparative numerical and field case study. Measurement, 2021, 167, 108292. 
65. Wu C, Yang* X, & Zhu Y. On the design of potential turbine positions for physics-informed optimization of wind farm layout. Renewable Energy, 2021, 164, 1108–1120. 
66. Li Z, Wang H, Zhang X, Wu T, & Yang* X. Effects of space sizes on the dispersion of cough-generated droplets from a walking person. Physics of Fluids , 2020, 32(12), 121705. (Featured article; Press Release; Reported by 52 news outlets including Reuters and U.S. News.)
67. Chen Y, Yang* X, Iskander AJ, & Wang P. On the flow characteristics in different carotid arteries. Physics of Fluids, 2020, 32(10), 101902. (Editor’s pick)
68. Liao F, Yang* X, Wang S, & He G. Grid-dependence study for simulating propeller crashback using large-eddy simulation with immersed boundary method. Ocean Engineering, 2020, 218, 108211. 
69. Yang X, Foti D, Kelley C, Maniaci D, & Sotiropoulos* F. Wake statistics of different-scale wind turbines under turbulent boundary layer inflow. Energies, 2020, 13(11), 3004. 
70. Li Z, & Yang* X. Evaluation of actuator disk model relative to actuator surface model for predicting utility-scale wind turbine wakes. Energies, 2020, 13(14), 3574. 
71. Zhou Z, Wang S, Yang X, & Jin* G. A structural subgrid-scale model for the collision- related statistics of inertial particles in large-eddy simulations of isotropic turbulent flows. Physics of Fluids, 2020, 32(9), 095103. 
72. Liao F, Wang S, Yang* X, & He G. A simulation-based actuator surface parameterization for large-eddy simulation of propeller wakes. Ocean Engineering, 2020, 199, 107023. 
73. Iskander*, AJ, Naftalovich R, & Yang X. The carotid sinus acts as a mechanotransducer of shear oscillation rather than a baroreceptor. Medical Hypotheses, 2020, 134, 109441. 
74. Yang X, & Sotiropoulos, F. A review on the meandering of wind turbine wakes. Energies, 2019, 12(24), 4725. (Invited)
75. Foti D, Yang X, Shen L, & Sotiropoulos* F. Effect of wind turbine nacelle on turbine wake dynamics in large wind farms. Journal of Fluid Mechanics, 2019, 869, 1-26. 
76. Yang X, & Sotiropoulos* F. On the dispersion of contaminants released far upwind of a cubical building for different turbulent inflows. Building and Environment, 2019, 154, 324-335. 
77. Shi B, Yang X, Jin G, He G, & Wang* S. Wall-modeling for large-eddy simulation of flows around an axisymmetric body using the diffuse-interface immersed boundary method. Applied Mathematics and Mechanics, 2019, 40, 305-320. 
78. Yang X, & Sotiropoulos* F. Wake characteristics of a utility-scale wind turbine under coherent inflow structures and different operating conditions. Physical Review Fluids, 2019, 4(2), 024604.
79. Yang X, Pakula M, & Sotiropoulos* F. Large-eddy simulation of a utility-scale wind farm in complex terrain. Applied Energy, 2018, 229, 767-777. 
80. Foti D, Yang X, Campagnolo F, Maniaci D, & Sotiropoulos*, F. Wake meandering of a model wind turbine operating in two different regimes. Physical Review Fluids, 2018, 3(5), 054607. 
81. Foti D, Yang X, & Sotiropoulos* F. Similarity of wake meandering for different wind turbine designs for different scales. Journal of Fluid Mechanics, 2018, 842, 5-25. 
82. Yang X, & Sotiropoulos* F. A new class of actuator surface models for wind turbines. Wind Energy, 2018, 21(5), 285-302. 
83. Yang X, Khosronejad A, & Sotiropoulos* F. Large-eddy simulation of a hydrokinetic turbine mounted on an erodible bed. Renewable Energy, 2017, 113, 1419-1433. 
84. Foti D, Yang X, Campagnolo F, Maniaci D, & Sotiropoulos*, F. On the use of spires for generating inflow conditions with energetic coherent structures in large eddy simulation. Journal of Turbulence, 2017, 18(7), 611-633. 
85. Chawdhary S, Hill C, Yang X, Guala M, Corren D, Colby J, & Sotiropoulos* F. Wake characteristics of a TriFrame of axial-flow hydrokinetic turbines. Renewable Energy, 2017, 109, 332-345. 
86. Foti D, Yang X, & Sotiropoulos* F. Uncertainty quantification of infinite aligned wind farm performance using non-intrusive polynomial chaos and a distributed roughness model. Wind Energy, 2017, 20(6), 945-958. 
87. Khosronejad A, Le T, DeWall P, Bartelt N, Woldeamlak S, Yang X, & Sotiropoulos* F. High-fidelity numerical modeling of the Upper Mississippi River under extreme flood condition. Advances in Water Resources, 2016, 98, 97-113. 
88. Foti D, Yang X, Guala M, & Sotiropoulos* F. Wake meandering statistics of a model wind turbine: Insights gained by large eddy simulations. Physical Review Fluids, 2016, 1(4), 044407. 
89. Yang X, Hong J, Barone M, & Sotiropoulos* F. Coherent dynamics in the rotor tip shear layer of utility-scale wind turbines. Journal of Fluid Mechanics, 2016, 804, 90-115.
90. Yang X, & Sotiropoulos* F. Analytical model for predicting the performance of arbitrary size and layout wind farms. Wind Energy, 2016, 19(7), 1239-1248. 
91. Yang X, Howard KB, Guala M, & Sotiropoulos* F. Effects of a three-dimensional hill on the wake characteristics of a model wind turbine. Physics of Fluids, 2015, 27(2), 025103. 
92. Yang X, Sotiropoulos* F, Conzemius RJ, Wachtler JN, Strong MB. Large-eddy simulation of turbulent flow past wind turbines/farms: the Virtual Wind Simulator (VWiS). Wind Energy, 2015, 18(12), 2025-2045. 
93. Kang S, Yang X, & Sotiropoulos* F. On the onset of wake meandering for an axial flow turbine in a turbulent open channel flow. Journal of Fluid Mechanics, 2014, 744, 376-403.
94. Sotiropoulos* F, & Yang X. Immersed boundary methods for simulating fluid-structure interaction. Progress in Aerospace Sciences, 2014, 65, 1-21. (Highly cited)
95. Yang X, Kang S, & Sotiropoulos* F. Computational study and modeling of turbine spacing effects in infinite aligned wind farms. Physics of Fluids, 2012, 24(11), 115107. 
96. Yang X, He* G, & Zhang X. Large-eddy simulation of flows past a flapping airfoil using immersed boundary method. Science China Physics, Mechanics and Astronomy, 2010, 53(6), 1101-1108.
97. Yang X, Zhang X, Li Z, & He* G. A smoothing technique for discrete delta functions with application to immersed boundary method in moving boundary simulations. Journal of Computational Physics, 2009, 228(20), 7821-7836. 

有审稿的会议论文

1. Zhang Y, & Yang X. Similarity-based empirical formulae for wake turbulence in wind farms. In Journal of Physics: Conference Series (2026, Vol. 3224, p. 032004). IOP Publishing. 
2. Yang X. Towards the development of a wake meandering model based on neural networks. In Journal of Physics: Conference Series (2020, Vol. 1618, No. 6, p. 062026). IOP Publishing. 
3. Yang X, & Sotiropoulos F. Coordinated turbine control through axial-induction factor: wake characteristics and wind farm power optimization. WindTech 2017, October 24-26, 2017, Boulder, Colorado, USA. 
4. Yang X, Khosronejad A, Chawdhary S, Calderer A, Angelidis D, Shen L, & Sotiropoulos F. Simulation-based approach for site-specific optimization of marine and hydrokinetic energy conversion systems. E-proceedings of the 36th IAHR World Congress, 28 June-3 July, 2015, The Hague, the Netherlands.
5. Yang X, Boomsma A, Sotiropoulos F, Kelley C, Maniaci D, & Resor B. Effects of spanwise blade load distribution on wind turbine wake evolution. Proceedings of the AIAA SciTech 33rd Wind Energy Symposium. 2015, AIAA 2015-0492. 
6. Yang X, & Sotiropoulos F. LES investigation of infinite staggered wind-turbine arrays. In Journal of Physics: Conference Series (2014, Vol. 555, No. 1, p. 012109). IOP Publishing. 
7. Yang X, Annoni J, Seiler P, & Sotiropoulos F. Modeling the effect of control on the wake of a utility-scale turbine via large-eddy simulation. In Journal of Physics: Conference Series (2014, Vol. 524, No. 1, p. 012180). IOP Publishing. 
8. Yang X, Boomsma A, Barone M, & Sotiropoulos F. Wind turbine wake interactions at field scale: An LES study of the SWiFT facility. In Journal of Physics: Conference Series (2014, Vol. 524, No. 1, p. 012139). IOP Publishing. 
9. Yang X, Kang S, Khosronejad A, & Sotiropoulos F. Towards Simulation of Hydrokinetic Turbine Arrays with Sediment Transport in Natural Waterways. Proceedings of 2013 IAHR Congress. Tsinghua University Press, Beijing.
10. Yang X, & Sotiropoulos F. On the predictive capabilities of LES-actuator disk model in simulating turbulence past wind turbines and farms. In American Control Conference (ACC), 2013 (pp. 2878-2883). IEEE. 
11. Yang X, Kang S, & Sotiropoulos F. Toward a simulation-based approach for optimizing MHK turbine arrays in natural waterways. In Proceedings of the 1st Marine Energy Technology Symposium. METS, 2013. April 10-11, 2013, Washington, D.C.
12. Yang X, He G, & Zhang X. Towards large-eddy simulation of turbulent flows with complex geometric boundaries using immersed boundary method. In 48th AIAA aerospace sciences meeting including the new horizons forum and aerospace exposition (2010, AIAA-2010-708).