- N. Poudel, M. L. Yu, and J. T. Hrynuk, Gust Mitigation with an Oscillating Airfoil at Low Reynolds Number, Physics of Fluids, in press, 2021. 
- C. Sasser, M. L. Yu, and R. Delgado, Improvement of Wind Power Prediction from Meteorological Characterization with Machine Learning Models, Renewable Energy, in press, 2021. 
- K. Liu, M. L. Yu, and W. Zhu, Performance analysis of vertical axis water turbines under single-phase water and two-phase open channel flow conditions, Ocean Engineering, Vol. 238, 109769, 2021. 
- L. Li, I. Chopra, W. D. Zhu, and M. L. Yu, Performance Analysis and Optimization of a Vertical-Axis Wind Turbine with a High Tip-Speed Ratio, Energies, 14(4), 996, 2021. 
- H. Guy, A. Alexanderian, and M. L. Yu. A distributed active subspace method for scalable surrogate modeling of function valued outputs, Journal of Scientific Computing, Vol. 85, Article number: 36 (2020). [arxiv.org/abs/1908.02694] 
- L. Wang, and M. L. Yu, Comparison of ROW, ESDIRK, and BDF2 for Unsteady Flows with the High-Order Flux Reconstruction Formulation, Journal of Scientific Computing, Vol. 83, no. 39, 2020. [arxiv.org/abs/1904.04825, JSC] 
- L. Wang, Matthias Gobbert, and M. L. Yu, A dynamically load-balanced parallel p-adaptive implicit high-order flux reconstruction method for under-resolved turbulence simulation, Journal of Computational Physics, Vol. 417, no. 109581, 2020. [arxiv.org/abs/1910.03693, JCP] 
- M. H. Tong, W. D. Zhu, X. Zhao, M. L. Yu, K. Liu, and G. Li, Free and Forced Vibration Analysis of H-Type and Hybrid Vertical-Axis Wind Turbines, Energies, 13(24), 6747, 2020. 
- K. Liu, M. L. Yu, and W. Zhu, Enhancing Wind Energy Harvesting Performance of Vertical Axis Wind Turbines with a New Hybrid Design: a Fluid-Structure Interaction Study, Renewable Energy, Vol. 140, pp. 912-927, 2019. 
- S. Smith, A.-B. Syed, K. Liu, M. L. Yu, W. Zhu, G. Huang, D. Chen, and M. S. Aggour, A Comprehensive Aero-Hydro-Structural Analysis of a 5 MW Offshore Wind Turbine System, Journal of Solar Energy Engineering: Including Wind Energy and Building Energy Conservation, Vol. 141, pp. 061005, 2019. 
- L. Wang, and M. L. Yu, An Implicit High-Order Preconditioned Flux Reconstruction Method for Low-Mach-Number Flow Simulation with Dynamic Meshes, International Journal for Numerical Methods in Fluids, Vol. 91, pp. 348-366, 2019. [arxiv.org/abs/1903.06304] 
- H. L. Cleaves, A. Alexanderian, H. Guy, R. C. Smith, and M. L. Yu. Derivative based global sensitivity analysis for models with high-dimensional inputs and functional outputs, SIAM Journal on Scientific Computing, 41(6), A3524-A3551, 2019. [arxiv.org/abs/1902.04630] 
- A. Alexanderian, W. Reese, R. C. Smith, and M. L. Yu, Model Input and Output Dimension Reduction Using Karhunen Loève Expansions with Application to Biotransport, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5(4): 041014, 2019. [arxiv.org/abs/1903.06314] 
- L. Wang and M. L. Yu. "A p-multigrid flux reconstruction method for the steady Navier-Stokes equations", AIAA Aviation 2019 Forum (AIAA 2019-3061), 17-21 June 2019, Dallas, Texas. [https://doi.org/10.2514/6.2019-3061]  
- L. Wang and M. L. Yu. "Jacobian-free implicit p-adaptive high-order compact direct flux reconstruction methods for unsteady flow simulation", AIAA Aviation 2019 Forum (AIAA 2019-3062), 17-21 June 2019, Dallas, Texas. [https://doi.org/10.2514/6.2019-3062]  
- N. Poudel, M. L. Yu, Z. F. Smith, and J. T. Hrynuk, A combined experimental and computational study of a vertical gust generator in a wind tunnel, AIAA Scitech 2019 Forum (AIAA 2019-2166), San Diego, California. [arc.aiaa.org/doi/abs/10.2514/6.2019-2166] 
- K. Liu, L. Wang, and M. L. Yu, Towards high-order accurate numerical simulation of unsteady flow physics over domains with large deformation, AIAA Scitech 2019 Forum (AIAA 2019-1400), San Diego, California. [arc.aiaa.org/doi/abs/10.2514/6.2019-1400]