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20192025
most citedPrediction of wall-bounded turbulence from wall quantities using convolutional neural networks

22 citations · 110 across the 17 of their papers we have counts for

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physics.flu-dyn2024★ 7 cited

Deep reinforcement learning for the management of the wall regeneration cycle in wall-bounded turbulent flows

Giorgio Maria Cavallazzi, Luca Guastoni, Ricardo Vinuesa +1

The wall cycle in wall-bounded turbulent flows is a complex turbulence regeneration mechanism that remains not fully understood. This study explores the potential of deep reinforce…