Dr. Orkun Furat

Semester	Veranstaltung	Rolle
WS 2023/24	Punktprozesse	Dozent
SS 2023	Seminar: Multivariate stochastic modeling: Classical approaches and methods of machine learning	Dozent
WS 2022/23	Advanced Statistics	Dozent
SS 2021	Seminar: Spatial stochastic modeling, supported by methods of machine learning	Begleitender Dozent
WS 2020/21	Markov Ketten	Übungsleiter
SS 2019	Punktprozesse	Übungsleiter
SS 2018	Punktprozesse	Übungsleiter

• O. Furat, T. Leißner, R. Ditscherlein, O. Sedivy, M. Weber, K. Bachmann, J. Gutzmer, U. Peuker and V. Schmidt, Description of ore particles from XMT images, supported by SEM-based image analysis. Microscopy and Microanalysis 24 (2018), 461-470.
• M. Neumann, O. Furat, D. Hlushkou, U. Tallarek, L. Holzer and V. Schmidt, On microstructure-property relationships derived by virtual materials testing with an emphasis on effective conductivity. In: M. Baum, G. Brenner, J. Grabowski, T. Hanschke, S. Hartmann, and A. Schöbel (eds.), Simulation Science: Proceedings of the Clausthal-Göttingen International Workshop on Simulation Science, Göttingen 2017. Communications in Computer and Information Science (CIS), Springer 2018, pp. 145-158.
• B. Prifling, O. Furat, D. Schmidt, H. Markötter, I. Manke, T. Bernthaler, V. Knoblauch and V. Schmidt, 3D-Mikrostrukturanalyse von Elektroden in Lithium-Ionen-Batterien. DGM-Jahresmagazin Materialographie 2018, pp. 88-91.
• C. Baldermann, A. Baldermann, O. Furat, M. Krüger, M. Nachtnebel, H. Schroettner, J. Juhart, V. Schmidt and J. Tritthart, Mineralogical and microstructural response of hydrated cement blends to leaching. Construction & Building Materials 229 (2019), 116902.
• O. Furat, T. Leißner, K. Bachmann, J. Gutzmer, U. Peuker and V. Schmidt, Stochastic modeling of multidimensional particle characteristics using parametric copulas. Microscopy and Microanalysis 25 (2019), 720-734.
• O. Furat, B. Prifling, D. Westhoff, M. Weber and V. Schmidt, Statistische Analyse und Modellierung von komplexen Partikelsystemen in 3D mittels tomographischer Bilddaten. Practical Metallography 56 (2019), 787-796.
• O. Furat, M.Y. Wang, M. Neumann, L. Petrich, M. Weber, C.E. Krill III and V. Schmidt, Machine learning techniques for the segmentation of tomographic image data of functional materials. Frontiers in Materials 6 (2019), 145.
• O. Furat, M. Masuhr, F.E. Kruis and V. Schmidt, Stochastic modeling of classifying aerodynamic lenses for separation of airborne particles by material and size. Advanced Powder Technology 31 (2020), 2215-2226.
• R. Ditscherlein, O. Furat, M. de Langlard, J. Martins de Souza e Silva, J. Sygusch, M. Rudolph, T. Leißner, V. Schmidt and U.A. Peuker, Multi-scale tomographic analysis for micron-sized particulate samples. Microscopy and Microanalysis 26 (2020), 676-688.
• J. Schreier, O. Furat, M. Cankaya, V. Schmidt and U. Bröckel, Automated evaluation of contact angles in a three-phase system of selective agglomeration in liquids. Image Analysis & Stereology 20 (2020), 179-188.
• O. Furat, D. Finegan, D. Diercks, F. Usseglio-Viretta, K. Smith and V. Schmidt, Mapping the architecture of single electrode particles in 3D, using electron backscatter diffraction and machine learning segmentation. Journal of Power Sources 483 (2021), 229148.
• O. Furat, L. Petrich, D. Finegan, D. Diercks, F. Usseglio-Viretta, K. Smith and V. Schmidt, Artificial generation of representative single Li-ion electrode particle architectures from microscopy data. npj Computational Materials 7 (2021), 105.
• O. Furat, A. Baldermann, C. Baldermann, M. Dietzel and V. Schmidt, Quantitative assessment of microstructural changes of hydrated cement blends due to leaching and carbonation, based on statistical analysis of image data. Construction and Building Materials 302 (2021), 124370.
• O. Furat, U. Frank, M. Weber, S. Wawra, W. Peukert and V. Schmidt, Estimation of bivariate probability distributions of nanoparticle characteristics, based on univariate measurements. Inverse Problems in Science and Engineering 29 (2021), 1343-1368.
• J. Allen, P.J. Weddle, A. Verma, A. Mallarapu, F. Usseglio-Viretta, D.P. Finegan, A. Colclasure, W. Mai, V. Schmidt, O. Furat, D. Diercks, T. Tanim and K. Smith, Quantifying the influence of charge rate and cathode-particle architectures on degradation of Li-ion cells through 3D continuum-level damage models. Journal of Power Sources 512 (2021), 230415.
• L. Petrich, O. Furat, M.Y. Wang, C.E. Krill III and V. Schmidt, Efficient fitting of 3D tessellations to curved polycrystalline grain boundaries. Frontiers in Materials 8 (2021), 507.
• R. Ditscherlein, O. Furat, E. Löwer, R. Mehnert, R. Trunk, T. Leißner, M.J. Krause, V. Schmidt and U.A. Peuker, PARROT - A pilot study on the open access provision of particle discrete tomographic datasets. Microscopy and Microanalysis 28 (2022), 350-360.
• O. Furat, D.P. Finegan, Z. Yang, T. Kirstein, K. Smith and V. Schmidt, Super-resolving microscopy images of Li-ion electrodes for fine-feature quantification using generative adversarial networks. npj Computational Materials 8 (2022), 68.
• O. Furat, D.P. Finegan, Z. Yang, T. Tanim, K. Smith and V. Schmidt, Quantifying the Impact of Charge Rate and Number of Cycles on Structural Degeneration of Li-Ion Battery Electrodes. Journal of The Electrochemical Society 169 (2022), 100541.
• S. Englisch, R. Ditscherlein, T. Kirstein, L. Hansen, O. Furat, D. Drobek, T. Leißner, B. Apeleo Zubiri, A.P. Weber, V. Schmidt, U.A. Peuker and E. Spiecker, 3D analysis of equally X–ray attenuating mineralogical phases utilizing a correlative tomographic workflow across multiple length scales. Powder Technology 419 (2023), 118343.
• T. Wilhelm, J. Sandbrink, O. Furat, K. Bachmann, M. Rudolph and V. Schmidt, Parametric stochastic modeling of particle descriptor vectors for studying the influence of ultrafine particle wettability and morphology on flotation-based separation behavior. Powders 2 (2023), 353-371.
• E. Schach, T. Buchwald, O. Furat, F. Tischer, A. Kaas, L. Kuger, M. Masuhr, J. Sygusch, T. Wilhelm and U. A. Peuker, Progress in the Application of Multidimensional Particle Property Distributions: The Separation Function. KONA Powder and Particle Journal (in print).
• O. Furat, D.P. Finegan, Z. Yang, M. Neumann, S. Kim, T.R. Tanim, P. Weddle, K. Smith and V. Schmidt, Quantifying the impact of operating temperature on cracking in battery electrodes, using super-resolution of microscopy images and stereology. Energy Storage Materials 64 (2024), 103036.
• O. Furat, T. Kirstein, T. Leißner, K. Bachmann, J. Gutzmer, U.A. Peuker und V. Schmidt, Multidimensional characterization of particle morphology and mineralogical composition using CT data and R-vine copulas. Minerals Engineering 206 (2024), 108520.
• P. Gräfensteiner, J. Friebel, L. Ditscherlein, O. Furat, U. A. Peuker and V. Schmidt, An AFM-based approach for quantification of guest particle deformation during mechano-fusion. Powder Technology 434 (2024), 119293.
• W.-X. Chen, J. M. Allen, S. Rezaei, O. Furat, V. Schmidt, A. Singh, P. J. Weddle, K. Smith and B.-X. Xu, Cohesive phase-field chemo-mechanical simulations of inter- and trans-granular fractures in polycrystalline NMC cathodes via image-based 3D reconstruction. Journal of Power Sources 596 (2024), 234054.