Research School for Fluid Mechanics | TUD TUE UT RUG WUR UU

Course overview

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Machine learning in fluid mechanics (TU/e)

22 May 2023 - 26 May 2023

Machine learning in fluid mechanics

22 – 26 May 2023

Location: TUE

Coordinators: Federico Toschi (TUE), Alessandro Corbetta (TUE)

Lecturers: Federico Toschi (TUE), Alessandro Corbetta (TUE), and others


Machine learning and deep learning are allowing the progressive automation of tasks that only few years ago were impossible or required labour-intensive human activity. Image processing, language processing/translation, automated control, digital pathology are examples of recently revolutionized sectors. From a scientific perspective, there are strong evidences that deep learning methods are much better capable of quantifying properties of complex and/or chaotic dynamical systems, among which turbulence, than the current conventional state-of-the-art methods. This opens new research possibilities in which machine learning supports, or even unlocks, new scientific discoveries. This course, aimed at students with a fluid mechanics background, has a two-fold aim: first it will provide an application-oriented primer on neural networks for inference and control tasks, and second it will present recent selected use-cases from fluid mechanics and non-linear dynamics. The course time will be evenly split between lectures and hands-on sessions. Students will be trained to state-of-the-art machine learning software tools (python/jupyter, keras).


For more information, contact:

Federico Toschi | 040 247 3911 |


22 May 2023
26 May 2023


Netherlands + Google Map

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