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physics.flu-dyn2025
PINNs4Drops: Video-conditioned physics-informed neural networks for two-phase flow reconstruction
Maximilian Dreisbach, Elham Kiyani, Jochen Kriegseis +2
Two-phase flow phenomena underpin critical technologies such as hydrogen fuel cells, spray cooling, and combustion, where droplet dynamics govern performance and efficiency. Conven…
physics.flu-dyn2025
Interface reconstruction of adhering droplets for distortion correction using glare points and deep learning
Maximilian Dreisbach, Itzel Hinojos, Jochen Kriegseis +2
The flow within adhering droplets subjected to external shear flows has a significant influence on the stability and eventual detachment of the droplets from the surface. Most comm…
physics.flu-dyn2024
Investigating the shortcomings of the Flow Convergence Method for quantification of Mitral Regurgitation in a pulsatile in-vitro environment and with Computational Fluid Dynamics
Robin Leister, Roger Karl, Lubov Stroh +12
The flow convergence method includes calculation of the proximal isovelocity surface area (PISA) and is widely used to classify mitral regurgitation (MR) with echocardiography. It…