3 papers
cond-mat.mtrl-sci2025
Predicting the 3D microstructure of SOFC anodes from 2D SEM images using stochastic microstructure modeling and CNNs
Léon F. Schröder, Sabrina Weber, Lukas Fuchs +2
The 3D microstructure of solid oxide fuel cell anodes significantly influences their electrochemical performance, but conventional methods for acquiring high-resolution microstruct…
cond-mat.mtrl-sci2025
Comparing the 3D morphology of solid-oxide fuel cell anodes for different manufacturing processes, annealing times, and operating temperatures
Sabrina Weber, Benedikt Prifling, Martin Juckel +6
Solid oxide fuel cells (SOFCs) are becoming increasingly important due to their high electrical efficiency, the flexible choice of fuels and relatively low emissions of pollutants.…
cond-mat.mtrl-sci2025
Statistical learning of structure-property relationships for transport in porous media, using hybrid AI modeling
Somayeh Hosseinhashemi, Philipp Rieder, Orkun Furat +5
The 3D microstructure of porous media, such as electrodes in lithium-ion batteries or fiber-based materials, significantly impacts the resulting macroscopic properties, including e…