P. Kurzeja, und H. Steeb. Philosophical transactions of the Royal Society. Series A, Mathematical, physical and engineering sciences, 380 (2237):
20210370(2022)
M. Kelm, C. Bringedal, und B. Flemisch. Dataset, (2023)Related to: Kelm, M., Gärttner, S., Bringedal, C. et al. Comparison study of phase-field and level-set method for three-phase systems including two minerals. Comput Geosci 26, 545-570 (2022). doi: 10.1007/s10596-022-10142-w.
L. Keim, H. Class, L. Schirmer, B. Strauch, K. Wendel, und M. Zimmer. Dataset, (2023)Related to: Class, H.; Keim, L.; Schirmer, L.; Strauch, B.; Wendel, K.; Zimmer, M. Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond with Aqueous Concentrations in a Stagnant Water Column. Geosciences 2023, 13, 51. doi: 10.3390/geosciences13020051.
L. Keim, H. Class, L. Schirmer, K. Wendel, B. Strauch, und M. Zimmer. Dataset, (2023)Related to: Class, H.; Keim, L.; Schirmer, L.; Strauch, B.; Wendel, K.; Zimmer, M. Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond with Aqueous Concentrations in a Stagnant Water Column. Geosciences 2023, 13, 51. doi: 10.3390/geosciences13020051.
D. Lee, F. Weinhardt, J. Hommel, H. Class, und 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.
J. Kneifl, D. Rosin, O. Avci, O. Röhrle, und J. Fehr. Software, (2023)Related to: Kneifl, J, Rosin, D., Röhrle, O., Fehr, J.: Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction, 2022. tbd.
D. Gläser, A. Seeland, K. Schulze, und S. Burbulla. Software, (2023)Related to: Inga Berre, Wietse M. Boon, Bernd Flemisch, Alessio Fumagalli, Dennis Gläser, Eirik Keilegavlen, Anna Scotti, Ivar Stefansson, Alexandru Tatomir, Konstantin Brenner, Samuel Burbulla, Philippe Devloo, Omar Duran, Marco Favino, Julian Hennicker, I-Hsien Lee, Konstantin Lipnikov, Roland Masson, Klaus Mosthaf, Maria Giuseppina Chiara Nestola, Chuen-Fa Ni, Kirill Nikitin, Philipp Schädle, Daniil Svyatskiy, Ruslan Yanbarisov, Patrick Zulian, Verification benchmarks for single-phase flow in three-dimensional fractured porous media, Advances in Water Resources, Volume 147, 2021. doi: 10.1016/j.advwatres.2020.103759.
I. Wochner, und S. Schmitt. Software, (2022)Related to: Wochner, I., Schumacher, P., Martius, G., Büchler, D., Schmitt, S., & Haeufle, D. F. (2022). Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. Conference on Robot Learning (CoRL) 2022. url: https://openreview.net/forum?id=Xo3eOibXCQ8.
C. Kelleter, T. Burghardt, H. Binz, und W. Sobek. Proceedings of the 6th European Conference on Computational Mechanic (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7), Barcelona, CIMNE, (2018)
S. Shuva, P. Buchfink, O. Röhrle, und B. Haasdonk. Large-Scale Scientific Computing : 13th International Conference, LSSC 2021, Sozopol, Bulgaria, June 7-11, 2021, Revised Selected Papers, 13127, Seite 402-409. Cham, Springer, (2021)
Z. Trivedi, D. Gehweiler, J. Wychowaniec, T. Ricken, B. Gueorguiev-Rüegg, A. Wagner, und O. Röhrle. Dataset, (2022)Related to: Trivedi, Z., Gehweiler, D., Wychowaniec, J.K., Ricken, T., Gueorguiev, B., Wagner, A., Röhrle, O., 2023. A continuum mechanical porous media model for vertebroplasty: Numerical simulations and experimental validation. Biomech Model Mechanobiol. doi: 10.1007/s10237-023-01715-4.
T. Praditia, M. Karlbauer, S. Otte, S. Oladyshkin, M. Butz, und W. Nowak. Dataset, (2022)Related to: Praditia, T., Karlbauer, M., Otte, S., Oladyshkin, S., Butz, M.V., Nowak, W.: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. Earth and Space Science Open Archive (2022). doi: 10.1002/essoar.10511934.1.