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physics.flu-dyn2024
Asymptotic scaling laws for periodic turbulent boundary layers and their numerical simulation up to Re_theta = 8300
Andrew Wynn, Saeed Parvar, Joseph O Connor +1
We provide a rigorous analysis of the self-similar solution of the temporal turbulent boundary layer, recently proposed in [2], in which a body force is used to maintain a statisti…
physics.flu-dyn2023
Structure-Informed Neural Networks for Boundary Observation Problems
Jakub Horsky, Andrew Wynn
We introduce Structure Informed Neural Networks (SINNs), a novel method for solving boundary observation problems involving PDEs. The SINN methodology is a data-driven framework fo…