5 papers
Virtual materials testing of ASSB cathodes combining AI-based stochastic 3D modeling and numerical simulations
Anina Dufter, Sabrina Weber, Orkun Furat +7
The performance of all-solid-state battery (ASSB) cathodes strongly depends on their microstructure. Optimizing the cathode morphology can therefore enhance effective macroscopic p…
CMA-Unfold A Covariance Matrix Adaptation unfolding algorithm for stacked calorimeter detectors
G. Fauvel, A. Arefiev, M. Manuel +3
Stacking calorimeters also refered as bremsstrahlung cannons widely used in inertial confinement fusion and ultra-intense laser plasma experiments have become essential diagnostics…
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…
Generative adversarial framework to calibrate excursion set models for the 3D morphology of all-solid-state battery cathodes
Orkun Furat, Sabrina Weber, Johannes Schubert +7
This paper presents a computational method for generating virtual 3D morphologies of functional materials using low-parametric stochastic geometry models, i.e., digital twins, cali…
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.…