2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
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…
Spatio-temporal reconstruction of drop impact dynamics by means of color-coded glare points and deep learning
Maximilian Dreisbach, Jochen Kriegseis, Alexander Stroh
The present work introduces a deep learning approach for the three-dimensional reconstruction of the spatio-temporal dynamics of the gas-liquid interface in two-phase flows on the…
Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Back-Scatter Region
Christian Sax, Maximilian Dreisbach, Jochen Kriegseis
Interferometric particle imaging is a widely used optical measuring technique for the sizing of poly-dispersed spherical particles like droplets and bubbles. In its conventional ap…