103 citations · 274 across the 15 of their papers we have counts for
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physics.flu-dyn2022★ 3 cited
A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data
Mustafa Z. Yousif, Linqi Yu, Sergio Hoyas +2
Turbulence is a complex phenomenon that has a chaotic nature with multiple spatio-temporal scales, making predictions of turbulent flows a challenging topic. Nowadays, an abundance…
physics.flu-dyn2022★ 89 cited
A transformer-based synthetic-inflow generator for spatially-developing turbulent boundary layers
Mustafa Z. Yousif, Meng Zhang, Linqi Yu +2
This study proposes a newly-developed deep-learning-based method to generate turbulent inflow conditions for spatially-developing turbulent boundary layer (TBL) simulations. A comb…