6/6/22    14:00 - 16:00
UQ and data-driven methods for scale-resolving turbulent flow simulations II  
Minisymposium organized by Saleh Rezaeiravesh, Philipp Schlatter and Maria Vittoria Salvetti
Room: Buskerud (1F)
Chair: Saleh Rezaeiravesh
CoChair: Philipp Schlatter
Multi-Fidelity Surrogate Models for Aerodynamic Applications
Andrew Mole, Alex Skillen and Alistair Revell

Energy consistent machine learning closure model for fluid flow problems
Toby van Gastelen and Benjamin Sanderse

Data-driven LES for the flow around a 5:1 ractangular cylinder
Gabriel I. Moldovan, Alessandro Mariotti, Guilaume Lehnasch, Laurent Cordier, Maria V. Salvetti and Marcello Meldi

Adaptive Gaussian process surrogate modelling of large-eddy simulation for microscale atmospheric dispersion
Bastien X. Nony, Mélanie C. Rochoux, Didier Lucor and Thomas Jaravel

Learning reduced subgrid-scale models
Wouter Edeling and Daan Crommelin

Explorative In-situ Analysis of Turbulent Flow Data Based on a Data-Driven Approach
Christian Gscheidle and Jochen Garcke