Orkun Furat

13 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generative Adversarial Framework to Calibrate Excursion Set Models for the 3D Morphology of All-Solid-State Battery Cathodes.
Adv. Intell. Syst.
Orkun Furat, Sabrina Weber, Anina Dufter, Johannes Schubert, René Rekers, Maximilian Luczak, Erik Glatt, Andreas Wiegmann, Jürgen Janek, Anja Bielefeld, Volker Schmidt
2025 J jnl
Comparative Analysis of Algorithms for the Fitting of Tessellations to 3D Image Data.
CoRR
Andreas Alpers, Orkun Furat, Christian Jung, Matthias Neumann, Claudia Redenbach, Aigerim Saken, Volker Schmidt
2025 J jnl
Generative adversarial framework to calibrate excursion set models for the 3D morphology of all-solid-state battery cathodes.
CoRR
Orkun Furat, Sabrina Weber, Johannes Schubert, René Rekers, Maximilian Luczak, Erik Glatt, Andreas Wiegmann, Jürgen Janek, Anja Bielefeld, Volker Schmidt
2025 J jnl
Statistical learning of structure-property relationships for transport in porous media, using hybrid AI modeling.
CoRR
Somayeh Hosseinhashemi, Philipp Rieder, Orkun Furat, Benedikt Prifling, Changlin Wu, Christoph Thon, Volker Schmidt, Carsten Schilde
2025 J jnl
Stereological 3D modeling of nano-scale catalyst particles using TEM projections.
Mach. Learn. Sci. Technol.
Lukas Fuchs, Kerstin Wein, Jens Friedland, Orkun Furat, Robert Güttel, Volker Schmidt
2025 J jnl
Super-resolving 3D nanostructures using artificially generated image data and spatial transport simulations.
Mach. Learn. Sci. Technol.
Orkun Furat, Phillip Gräfensteiner, Rishabh Saxena, Markus Osenberg, Matthias Neumann, Ingo Manke, Thomas Carraro, Volker Schmidt
2024 J jnl
Determination of droplet size from wide-angle light scattering image data using convolutional neural networks.
Mach. Learn. Sci. Technol.
Tom Kirstein, Simon Aßmann, Orkun Furat, Stefan Will, Volker Schmidt
2024 J jnl
Generating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs.
CoRR
Lukas Fuchs, Orkun Furat, Donal P. Finegan, Jeffery Allen, Francois L. E. Usseglio-Viretta, Bertan Ozdogru, Peter J. Weddle, Kandler Smith, Volker Schmidt
2024 J jnl
Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data.
Mach. Learn. Sci. Technol.
Lukas Fuchs, Tom Kirstein, Christoph Mahr, Orkun Furat, Valentin Baric, Andreas Rosenauer, Lutz Mädler, Volker Schmidt
2023 J jnl
Determination of droplet size from wide-angle light scattering image data using convolutional neural networks.
CoRR
Tom Kirstein, Simon Aßmann, Orkun Furat, Stefan Will, Volker Schmidt
2023 J jnl
Mixed moving average field guided learning for spatio-temporal data.
CoRR
Imma Valentina Curato, Orkun Furat, Bennet Stroeh
2023 J jnl
Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data.
CoRR
Lukas Fuchs, Tom Kirstein, Christoph Mahr, Orkun Furat, Valentin Baric, Andreas Rosenauer, Lutz Mädler, Volker Schmidt
2022 — —
Quantitative characterization of complex particle systems via machine learning and stochastic modeling.
Orkun Furat