Margaux will defend her thesis entitled "Development of machine learning based wall shear stress models for LES in the presence of adverse pressure gradients and separation" in room A4 of the "Petits amphis" (B7b) on the Sart-Tilman campus on 21/02 at 16h. Attendance online and more information via: https://www.am.uliege.be/cms/c_11643742/fr/margaux-boxho

5 researchers of the Design of Turbomachinery group present the latest developments at Acomen 2022, 31 august -> 1 september 2022 (https://acomen2022.org/)

Margaux Boxho presents "A data-driven wall model for the prediction of turbulent flow separation over periodic hills" during the  Workshop on Machine Learning and the Physical Sciences at the 35th NeurIPS conference

Margaux Boxho will present  "Analysis of space-time correlations for the two-dimensional periodic hill problem to support the development of wall models" at ETMM13 15-17 September, 2021. 

Larbi Arbaoui presents the paper "Powder bed fusion modelling based on Discontinuous Galerkin formulation" DoT group at ESAFORM 2021

http://aimontefiore.org/esaform2021/

Giuseppe Gangemi presents "Development of a multi-component diffusion fluid solver for two-temperature binary plasma sheath" at the 47th IOP Plasma Physics Conference

5 joint DoT-VKI PhD candidates present their research during the VKI PhD seminar