3 papers
cond-mat.mtrl-sci2026
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…
cs.CV2026
What DINO saw: ALiBi positional encoding reduces positional bias in Vision Transformers
Moritz Pawlowsky, Antonis Vamvakeros, Alexander Weiss +3
Vision transformers (ViTs) - especially feature foundation models like DINOv2 - learn rich representations useful for many downstream tasks. However, architectural choices (such as…
stat.ML2025
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…