Contact Information:

Email: yaomin.zhao@pku.edu.cn

Tel: +86-10-6275 9536

Homepage: http://www2.coe.pku.edu.cn/subpaget.asp?id=703

Education:
• 2011/09-2017/07  Ph. D., Peking Univeristy, 

                              "Lagrangian Investigation on Transitional Wall-Bounded Flows"

                              (with Prof. Shiyi Chen and Prof. Yue Yang)

• 2007/09-2011/07  B.S., Peking University, major in Physics

Research Areas:

High-fidelity simulation of turbomachinery flows, turbulence model development with machine learning methods, boundary layer transition, etc.

Grants and Awards：

Innovative and Novel Computational Impact on Theory and Experiment (INCITE), Department of Energy, US Co-PI

Selected Publications：

1. Y. Zhao* and R. D. Sandberg, Bypass transition in boundary layers subject to strong pressure gradient and curvature effects, Journal of Fluid Mechanics, 888, A4, 2020 (Featured on cover)
2. Y. Zhao*, H. D. Akolekar, J. Weatheritt, V. Michelassi, and R. D. Sandberg, RANS turbulence model development using CFD-driven machine learning, Journal of Computational Physics, 411, 109413, 2020
3. Y. Zhao, Y. Yang*, and S. Chen, Vortex reconnection in the late transition in channel flow, Journal of Fluid Mechanics, 802, R4, 2016
4. Y. Zhao, Y. Yang*, and S. Chen, Evolution of material surfaces in the temporal transition in channel flow, Journal of Fluid Mechanics, 793, 840-876, 2016
5. Y. Zhao* and R. D. Sandberg, Using a new entropy loss analysis to assess the accuracy of RANS predictions of an high-pressure turbine vane, Journal of Turbomachinery, 142, 081008, 2020

Pubilications in past five years：

1. Y. Zhao, S. Xiong, Y. Yang*, and S. Chen, Sinuous distortion of vortex surfaces in the lateral growth of turbulent spots, Physical Review Fluids, 3, 074701, 2018
2. Y. Zhao, Z. Xia*, Y. Shi, Z. Xiao, and S. Chen, Constrained large-eddy simulation of laminar-turbulent transition in channel flow, Physics of Fluids, 26, 095103, 2014
3. J. Weatheritt, Y. Zhao, R. D. Sandberg*, S. Mizukami, and K. Tanimoto, Data-driven scalar-flux model development with application to jet in cross flow, International Journal of Heat and Mass Transfer, 147, 118931, 2020
4. R. Pichler, Y. Zhao, R. D. Sandberg*, V. Michelassi, R. Pacciani, M. Marconcini, and A. Arnone, Large-eddy simulation and RANS analysis of the end-wall flow in a linear low-pressure turbine cascade cascade, part I: flow and secondary vorticity fields under varying inlet condition, Journal of Turbomachinery, 141(12), 121005, 2019
5. R. Pichler, Y. Zhao, R. D. Sandberg*, V. Michelassi, R. Pacciani, M. Marconcini, and A. Arnone, Large-eddy simulation and RANS analysis of the end-wall flow in a linear low-pressure turbine cascade—part II: loss generation, Journal of Turbomachinery, 141(5), 051004, 2019
6. Z. Xia, Y. Shi, Y. Zhao, Assessment of the shear-improved Smagorinsky model in laminar-turbulent transitional channel flow, Journal of Turbulence, 2015, 16(10): 925-936