Project archive
In this page you can find open-access publications, datasets, media and materials related with the outcomes of the project.
Journal papers
- Castellanos, R., Cornejo Maceda, G. Y., de la Fuente, I., Noack, B. R., Ianiro, A., & Discetti, S. (2022). Machine-learning flow control with few sensor feedback and measurement noise. Physics of Fluids, 34(4), 047118.
doi: https://doi.org/10.1063/5.0087208
Open-access version: https://arxiv.org/abs/2202.12685
Conference Contributions
- Castellanos, R., de la Fuente, I., Cornejo Maceda, G., Noack, B., Ianiro, A., & Discetti, S. (2021). Machine Learning flow control in the few sensors limit. Bulletin of the American Physical Society, 66. 74th Annual Meeting of the APS Division of Fluid Dynamics, Phoenix, EE.UU., November 21-23, 2021. https://meetings.aps.org/Meeting/DFD21/Session/H23.8
Video: https://www.youtube.com/watch?v=ftt4SLvvcLg - Alejandro Güemes, Alejandro Martín, Rodrigo Castellanos, Óscar Flores, Stefano Discetti. Active drag reduction in minimal flow units via deep reinforcement learning. 1st Spanish Fluid Mechanics Conference, June 19-22, 2022
Dissemination Activities
- “Aprende a controlar el aire en el túnel de viento”. Week of Science and Innovation of Madrid, November 11, 2021. https://aeromatic-project.uc3m.es/2021/11/30/aeromatic-en-la-semana-de-la-ciencia-de-madrid/