Coherent Structures in Turbulent Flows (Prof. Javier Jiménez) - Part 2

This lecture was given by Prof. Javier Jiménez, Universidad Politecnica de Madrid, Spain in the framework of the von Karman Lecture Series on Machine Learning for Fluid Mechanics organized by the von Karman Institute and the Université libre de Bruxelles in February 2020. This lectures explore how far the scientific discovery process can be automated. After discussing the scientific method and its possible relation with artificial intelligence techniques, this first chapter deals with how to extract correlations and models from data, using examples of how computers have made possible the identification of structures in shear flows. It is concluded that, besides the data-processing techniques required for the extraction of useful correlations, the most important part of the discovery process remains the generation of rules and models.