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Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation, , , , , , , und . Scientific Reports, 14 (1): 9375 (23.04.2024)Datenmanagement im SFB 1313, , , , , , , , und . Bausteine Forschungsdatenmanagement, 2020 (1): 28-38 (2020)micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, 40%, and 60% volume rubber content: sample 1, , und . Dataset, (2023)Related to: Taghizadeh, K., Ruf, M., Luding, S. & Steeb, H. (2023). About the morphology of granular mixtures. Proceedings of the National Academy of Sciences (PNAS), under review.Nonuniqueness of hydrodynamic dispersion revealed using fast 4D synchrotron x-ray imaging, , , , , , , , , und 1 andere Autor(en). Science Advances, 7 (52): eabj0960 (2021)Charakterisierung von faserverstärkten Halbzeugen aus recycelten Kohlenstofffasern für die Verwendung im Flugzeuginnenraum. Hochschule für Angewandte Wissenschaften Hamburg, Hamburg, Bachelorarbeit, (August 2014)Bachelorarbeit.Study of air void topology of asphalt with focus on air void constrictions : a review and research approach, , , , , und . Road materials and pavement design, 22 (sub1): S425-S443 (2021)Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: segmented subvolumes, , , und . Dataset, (2021)Related to: Balcewicz, M., Siegert, M., Gurris, M., Ruf, M., Krach, D., Steeb, H., & Saenger, E.H. (2021). Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone. Frontiers in Earth Science (under review).Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: micro-XRCT data set, , , und . Dataset, (2021)Related to: Balcewicz, M., Siegert, M., Gurris, M., Ruf, M., Krach, D., Steeb, H., & Saenger, E.H. (2021). Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone. Frontiers in Earth Science (under review).Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm : Dataset for the Development of Stochastically Reconstructed 3D Porous Media Micromodels using Additive Manufacturing: Numerical and Experimental Validation, , , und . Dataset, (2023)Related to: Lee, D., Ruf, M., Karadimitriou, N., Steeb, H., Manousidaki, M., Varouchakis, E.A., Tzortzakis, S., & Yiotis, A.(2023). Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation. Scientific Reports, submitted.micro-XRCT data set of an in-situ flow experiment with an X-ray transparent flow cell, und . Dataset, (2020)Related to: Ruf, M., & Steeb, H. (2020). An open, modular, and flexible micro X-ray computed tomography system for research. Review of Scientific Instruments, 91(11), 113102. doi: 10.1063/5.0019541.