1 citations · 1 across the 1 of their papers we have counts for
2 papers
physics.flu-dyn2025
Upstream history quantification and scale-decomposed energy analysis for weak-to-strong adverse-pressure-gradient turbulent boundary layers
Atharva Mahajan, Rahul Deshpande, Taygun R. Gungor +2
The present study delineates the effects of pressure gradient history and local disequilibration on the small and large-scale energy in turbulent boundary layers (TBLs) imposed wit…
physics.flu-dyn2025★ 1 cited
Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning
A. Cremades, R. Freibergs, S. Hoyas +3
In this work we present a framework to explain the prediction of the velocity fluctuation at a certain wall-normal distance from wall measurements with a deep-learning model. For t…