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GeoDict User Guide 2025

References

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M. Ebner et al., Tortuosity Anisotropy in Lithium‐Ion Battery Electrodes, Advanced Energy Materials, Volume 4, Issue 5 (2014)

A. Grießer, et. al., Deep learning based segmentation of binder and fibers in gas diffusion layers, Next Materials 6, p. 100411–100420 (2025), https://doi.org/10.1016/j.nxmate.2024.100411

W.C. Krumbein, Measurement and geological significance of shape and roundness of sedimentary particles, Journal of Sedimentary Research 11.2 (1941)

J. Ohser, F. Mücklich, Statistical Analysis of Microstructures in Materials Science, Wiley and Sons (2000)

A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, A. Desmaison, A. Köpf, E. Yang, Z. DeVito, M. Raison, A. Tejani, S. Chilamkurthy, B. Steiner, L. Fang, J. Bai, S. Chintala, PyTorch: An Imperative Style, High-Performance Deep Learning Library, arXiv:1912.01703 [cs.LG] (2019), https://doi.org/10.48550/arXiv.1912.01703

M. Peterson, E. Glatt, Computation of fiber diameters from discretized binary images with detailed error estimation, Report Series of Math2Market GmbH, No. M2M-2021-01 (2021), https://doi.org/10.30423/report.m2m-2021-01

O. Ronneberger, P. Fischer, T. Brox, U-Net: Convolutional Networks for Biomedical Image Segmentation, Medical Image Computing and Computer-Assisted Intervention (2015), https://doi.org/10.48550/arXiv.1505.04597

A.P. Sheppard, et al., Analysis of rock microstructure using high-resolution X-ray tomography, Proceedings of the International Symposium of the Society of Core Analysts (2006)

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