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MS01_05: Minisymposium - Data Science and AI in Fluid Mechanics
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Presentations | |||||||
2:30pm - 2:45pm
Deep reinforcement learning for autonomous navigation in complex flows 1Aix Marseille Université; 2Centrale Méditerranée; 3CNRS; 4IRPHE
2:45pm - 3:00pm
Deep Reinforcement Learning for Active Flow Control: Where we stand, and perspectives for the years to come 1Independent Researcher, Oslo, Norway; 2KTH Royal Institute of Technology, Stockholm, Sweden; 3TU Delft, Delft, Netherlands; 4Barcelona Supercomputing Center, Barcelona, Spain; 5National Institute of Standards and Technology, Gaithersburg, United States; 6Jeonbuk National University, Jeonju, Republic of Korea
3:00pm - 3:15pm
Deep learning-based reduced order model for three-dimensional unsteady flow with mesh transformation and stitching School of Aerospace Engineering, Xi’an Jiaotong University
3:15pm - 3:30pm
Data-driven correlations for thermohydraulic roughness properties 1Institute of Fluid Mechanics, Karlsruhe Institute of Technology; 2Department of Mechanical & Production Engineering, Aarhus University
3:30pm - 3:45pm
Bayesian olfactory search in realistic turbulent flows 1University of Rome, "Tor Vergata"; 2The Abdus Salam International Center for Theoretical Physics; 3Ecole Normale Superieure
3:45pm - 4:00pm
Bayesian Approaches for Odor Source Localization in a Turbulent Environment 1Department of Physics & INFN, University of Rome ''Tor Vergata", Via della Ricerca Scientifica 1, 00133 Rome, Italy; 2Istituto dei Sistemi Complessi, CNR, Via dei Taurini 19, 00185 Rome, Italy; 3INFN ''Tor Vergata", Via della Ricerca Scientifica 1, 00133 Rome, Italy
4:00pm - 4:15pm
An LES Informed Augmented Turbulence Kinetic Energy Neural Network Model for Near-wall Jet Flows 1University of Nottingham; 2Loughborough University
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