7 citations · 8 across the 4 of their papers we have counts for
4 papers
Quantitative characterization of hydrophobic agglomeration at different mixing intensities using a copula-based probabilistic modeling approach
Niklas Eiermann, Orkun Furat, Jan Nicklas +2
The agglomeration of small poorly wetted alumina particles in a stirred tank is investigated. For different experimental conditions, two bivariate probability densities for the are…
An AFM-based approach for quantification of guest particle deformation during mechano-fusion
Phillip Gräfensteiner, Judith Friebel, Lisa Ditscherlein +3
During the mechano-fusion process for dry particle coating, (hetero)-aggregates are formed consisting of host particles which are coated by smaller guest particles. During this pro…
Determination of droplet size from wide-angle light scattering image data using convolutional neural networks
Tom Kirstein, Simon Aßmann, Orkun Furat +2
Wide-angle light scattering (WALS) offers the possibility of a highly temporally and spatially resolved measurement of droplets in spray-based methods for nanoparticle synthesis. T…
Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data
Lukas Fuchs, Tom Kirstein, Christoph Mahr +5
The structural characterization of hetero-aggregates in 3D is of great interest, e.g., for deriving process-structure or structure-property relationships. However, since 3D imaging…