Orkun Furat

According to our database, Orkun Furat authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Comparative Analysis of Algorithms for the Fitting of Tessellations to 3D Image Data.

Andreas Alpers, Orkun Furat, Christian Jung, Matthias Neumann, Claudia Redenbach, Aigerim Saken, Volker Schmidt

CoRR, July, 2025

Statistical learning of structure-property relationships for transport in porous media, using hybrid AI modeling.

Somayeh Hosseinhashemi, Philipp Rieder, Orkun Furat, Benedikt Prifling, Changlin Wu, Christoph Thon, Volker Schmidt, Carsten Schilde

CoRR, March, 2025

Generative adversarial framework to calibrate excursion set models for the 3D morphology of all-solid-state battery cathodes.

Orkun Furat, Sabrina Weber, Johannes Schubert, René Rekers, Maximilian Luczak, Erik Glatt, Andreas Wiegmann, Jürgen Janek, Anja Bielefeld, Volker Schmidt

CoRR, March, 2025

2024

Determination of droplet size from wide-angle light scattering image data using convolutional neural networks.

Tom Kirstein, Simon Aßmann, Orkun Furat, Stefan Will, Volker Schmidt

Mach. Learn. Sci. Technol., March, 2024

Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data.

Lukas Fuchs, Tom Kirstein, Christoph Mahr, Orkun Furat, Valentin Baric, Andreas Rosenauer, Lutz Mädler, Volker Schmidt

Mach. Learn. Sci. Technol., 2024

Generating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs.

Lukas Fuchs, Orkun Furat, Donal P. Finegan, Jeffery Allen, Francois L. E. Usseglio-Viretta, Bertan Ozdogru, Peter J. Weddle, Kandler Smith, Volker Schmidt

CoRR, 2024

2023

Mixed moving average field guided learning for spatio-temporal data.

Imma Valentina Curato, Orkun Furat, Bennet Stroeh

CoRR, 2023

2022

Quantitative characterization of complex particle systems via machine learning and stochastic modeling.

Orkun Furat

PhD thesis, 2022