Artificial Intelligence in Fluid Mechanics Webinar 23rd of May 2024.
13.00 – 13.10: Introduction to the seminar, Dragana Arlov, Srdjan Sasic
13.10 – 13.45: Thomas Eppinger (Siemens) – How adding Machine Learning to simulation brings greater value for process industries
13.45 – 14.20: Bernhard Mehlig (GU): Lagrangian coherent structures in the input of deep neural networks
14.20 – 14.30: Break
14.30 – 15.20: Sivaramakrishnan Balachandar (University of Florida) – How to Harness the Powers of Machine Learning for Unprecedented Advances in Multiscale Modeling of Multiphase Flows
15.20 – 15.30: Break
15.30 – 16.05: Ricardo Vinuesa (KTH): Explaining and controlling turbulent flows through deep learning
16.05 – 16.40: Gianluca Boccardo (Polytechnic University of Turin): Modeling of flow and transport in porous media: integrating CFD and deep learning