3 citations · 5 across the 3 of their papers we have counts for
3 papers
Predicting air flow in calendered paper sheets from -CT data: combining physics with morphology
Phillip Gräfensteiner, Andoni Rodriguez, Peter Leitl +10
Predicting the macroscopic properties of thin fiber-based porous materials from their microscopic morphology remains challenging because of the structural heterogeneity of these ma…
Quantitative comparison of different approaches for reconstructing the carbon-binder domain from tomographic image data of cathodes in lithium-ion batteries and its influence on electrochemical properties
Benedikt Prifling, Matthias Neumann, Simon Hein +10
It is well known that the spatial distribution of the carbon-binder domain (CBD) offers a large potential to further optimize lithium-ion batteries. However, it is challenging to r…
Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers
Markus Osenberg, André Hilger, Matthias Neumann +6
FIB/SEM tomography represents an indispensable tool for the characterization of three-dimensional nanostructures in battery research and many other fields. However, contrast and 3D…