SSD - Koumoutsako Seminar

Location: AICES Seminar Room 115, 1st floor, Schinkelstr. 2, 52062 Aachen

Prof. Dr. Petros Koumoutsakos - Computing and Data Science Interfaces for Fluid Mechanics

Chair of Computational Sciences, ETH Z├╝rich, Switzerland

Abstract

We live in exciting times characterized by a unique convergence of Computing and Data Sciences. Novel frameworks fuse data with numerical methods while  learning algorithms are deployed on computers with unprecedented capabilities.   Can we harness  these new capabilities  to solve  some of the long standing problems in Fluid Mechanics such as turbulence modeling, flow control and energy cascades ? I will discuss our efforts to answer this question, celebrate successes as well as outline failures and open problems.  I will demonstrate how Bayesian reasoning can assist model selection in molecular simulations, how long-shirt memory networks (may fail to) predict chaotic systems and how deep reinforcement learning can produce powerful flow control methodologies. I will argue that, while Data and Computing offer wonderful capabilities, it is human thinking that remains the central element  in our effort to solve Fluid Mechanics problems.