M. Ruf, D. Lee, A. Yiotis, and H. Steeb. 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.
D. Lee, M. Ruf, A. Yiotis, and H. Steeb. 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.
H. Madadi Varzaneh, and H. Steeb. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 22, 1, page e202200221. Wiley, (2023)
N. Karadimitriou, D. Lee, and H. Steeb. Dataset, (2023)Related to: Alexander Straub, Nikolaos Karadimitriou, Guido Reina, Steffen Frey, Holger Steeb, Thomas Ertl, (2023), Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs. arXiv: 2307.14949.
M. Ruf, K. Taghizadeh Bajgirani, and H. Steeb. Dataset, (2023)Related to: Taghizadeh, K., Ruf, M., Luding, S., & Steeb, H. (2023). X-ray 3D imaging–based microunderstanding of granular mixtures: Stiffness enhancement by adding small fractions of soft particles. Proceedings of the National Academy of Sciences, 120(26), e2219999120. doi: 10.1073/pnas.2219999120.
M. Ruf, K. Taghizadeh Bajgirani, and H. Steeb. Dataset, (2023)Related to: Taghizadeh, K., Ruf, M., Luding, S., & Steeb, H. (2023). X-ray 3D imaging–based microunderstanding of granular mixtures: Stiffness enhancement by adding small fractions of soft particles. Proceedings of the National Academy of Sciences, 120(26), e2219999120. doi: 10.1073/pnas.2219999120.
M. Ruf, and H. Steeb. Dataset, (2023)Related to: Ruf, M., Lee, D., & Steeb, H. (2023). A multifunctional mechanical testing stage for micro X-ray computed tomography. Review of Scientific Instruments, 94, 085115. doi: 10.1063/5.0153042.
M. Ruf, D. Lee, and H. Steeb. Dataset, (2023)Related to: Ruf, M., Lee, D., & Steeb, H. (2023). A multifunctional mechanical testing stage for micro X-ray computed tomography. Review of Scientific Instruments, 94, 085115. doi: 10.1063/5.0153042.
J. Lißner. Software, (2023)Related to: Lißner, Julian and Fritzen, Felix. (2023). Hybrid machine-learned homogenization: Bayesian data mining and convolutional neural networks. arXiv: 2302.12545.
P. Kurzeja, and H. Steeb. Philosophical transactions of the Royal Society. Series A, Mathematical, physical and engineering sciences, 380 (2237):
20210370(2022)
D. Lee, and H. Steeb. Software, (2023)Related to: Lee, D., Weinhardt, F., Hommel, J., Piotrovski, J., Class, H., and Steeb, H. (2022). Machine Learning assists in increasing the time resolution of X-Ray Computed Tomography applied to mineral precipitation on porous media. Scientific Reports, to be submitted.
D. Lee, F. Weinhardt, J. Hommel, H. Class, and H. Steeb. Dataset, (2023)Related to: Lee, D., Weinhardt, F., Hommel, J., Piotrovski, J., Class, H., and Steeb, H. (2022). Machine Learning assists in increasing the time resolution of X-Ray Computed Tomography applied to mineral precipitation on porous media. Scientific Reports, to be submitted.
