46 citations · 47 across the 3 of their papers we have counts for
4 papers · 1 filter
Periodic Neural Mapping for Unsteady Rotor-Blade Pressure and Aeroelastic Load Prediction
Lionel Salesses, Joachim Dominique, Tariq Benamara +2
Accurate prediction of unsteady aerodynamic loads remains a major challenge in turbomachinery design. High-fidelity Computational Fluid Dynamics (CFD) simulations are expensive, wh…
Turbulent Injection assisted by Diffusion Models for Scale Resolving Simulations
Margaux Boxho, Joachim Dominique, Tariq Benarama +5
The present research proposes a new memory-efficient method using diffusion models to inject turbulent inflow conditions into Large Eddy Simulation (LES) and Direct Numerical Simul…
Challenges and Opportunities for Machine Learning in Fluid Mechanics
M. A. Mendez, J. Dominique, M. Fiore +3
Big data and machine learning are driving comprehensive economic and social transformations and are rapidly re-shaping the toolbox and the methodologies of applied scientists. Mach…
Artificial Neural Networks Modelling of Wall Pressure Spectra Beneath Turbulent Boundary Layers
J. Dominique, J. Van den Berghe, C. Schram +1
We analyse and compare various empirical models of wall pressure spectra beneath turbulent boundary layers and propose an alternative machine learning approach using Artificial Neu…