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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…
stat.ML2023
Mixed moving average field guided learning for spatio-temporal data
Imma Valentina Curato, Orkun Furat, Lorenzo Proietti +1
Influenced mixed moving average fields are a versatile modeling class for spatio-temporal data. However, their predictive distribution is not generally known. Under this modeling a…