most citedA deep learning approach to wall-shear stress quantification: From numerical training to zero-shot experimental application

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

physics.flu-dyn2024★ 5 cited

A deep learning approach to wall-shear stress quantification: From numerical training to zero-shot experimental application

Esther Lagemann, Julia Roeb, Steven L. Brunton +1

The accurate quantification of wall-shear stress dynamics is of substantial importance for various applications in fundamental and applied research, spanning areas from human healt…