Preprint

1. Towards human-interpretable, automated learning of feedback control for the mixing layer.
   Li, H., Cornejo Maceda, G. Y., Li, Y., Tan, J., Morzyński, M., & Noack, B. R. (2020).
   arXiv preprint arXiv:2008.12924.
   

Published

1. Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body.
   Li, Y., Cui, W., Jia, Q., Li, Q., Yang, Z., Morzyński, M., & Noack, B. R. (2022).
   Journal of Fluid Mechanics, 932, A7.
   
2. Bayesian optimization for active flow control.
   Blanchard A. B., Cornejo Maceda G. Y., Fan D., Li Y., Zhou Y., Noack B. R., & Sapsis T. P. (2022).
   Acta Mechanica Sinica, 10.1007/s10409-021-01149-0.
   
3. Stabilization of the fluidic pinball with gradient-enriched machine learning control.
   Cornejo Maceda, G. Y., Li, Y., Lusseyran, F., Morzyński, M., & Noack, B. R. (2021).
   Journal of Fluid Mechanics, 917, A42.
   
4. Gradient-free optimization in thermoacoustics: application to a low-order model.
   Reumschüssel, J. M., von Saldern, J. G., Li, Y., Paschereit, C. O., & Orchini, A. (2021).
   Journal of Engineering for Gas Turbines and Power.