51 citations · 101 across the 2 of their papers we have counts for
Showing physics.flu-dynShow all
2 papers · 1 filter
physics.flu-dyn2022★ 51 cited
Mean flow data assimilation based on physics-informed neural networks
Jakob G. R. von Saldern, Johann Moritz Reumschüssel, Thomas L. Kaiser +2
Physics-informed neural networks (PINNs) can be used to solve partial differential equations (PDEs) and identify hidden variables by incorporating the governing equations into neur…
physics.flu-dyn2014★ 50 cited
Mean flow stability analysis of oscillating jet experiments
Kilian Oberleithner, Lothar Rukes, Julio Soria
Linear stability analysis is applied to the mean flow of an oscillating round jet with the aim to investigate the robustness and accuracy of mean flow stability wave models. The je…