51 citations · 51 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2022
Modelling the response of a turbulent jet flame to acoustic forcing in a linearized framework using an active flame approach
Thomas Ludwig Kaiser, Gregoire Varillon, Wolfgang Polifke +4
This study performs a linear analysis of a turbulent reacting methane-air jet flame, with the goal of predicting the response of the reacting flow to upstream acoustic actuation. A…
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…