Orkun Furat

Machine Learning Techniques for the Segmentation of Tomographic Image Data of Functional Materials

Orkun Furat, Mingyan Wang, Matthias Neumann et al. · Frontiers in Materials · 2019 · 88 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +25

Quantifying the influence of charge rate and cathode-particle architectures on degradation of Li-ion cells through 3D continuum-level damage models

Jeffery M. Allen, Peter J. Weddle, Ankit Verma et al. · Journal of Power Sources · 2021 · 80 citations · Full text

Mapping the architecture of single lithium ion electrode particles in 3D, using electron backscatter diffraction and machine learning segmentation

Orkun Furat, Donal P. Finegan, David R. Diercks et al. · Journal of Power Sources · 2020 · 64 citations · Full text

Engineering, Microscopy, Electron Diffraction +24

Description of Ore Particles from X-Ray Microtomography (XMT) Images, Supported by Scanning Electron Microscope (SEM)-Based Image Analysis

Orkun Furat, Thomas Leißner, Ralf Ditscherlein et al. · Microscopy and Microanalysis · 2018 · 45 citations

Artificial generation of representative single Li-ion electrode particle architectures from microscopy data

Orkun Furat, Lukas Petrich, Donal P. Finegan et al. · npj Computational Materials · 2021 · 41 citations · Full text