K. Gugeler, and J. Kästner. Dataset, (2022)Related to: Philipp M. Hauser, Katrin Gugeler, Wolfgang Frey, Johannes Kästner, and Michael R. Buchmeiser. Tungsten Sulfido Alkylidene and Cationic Tungsten Sulfido Alkylidene N-Heterocyclic Carbene Complexes. Organometallics 2021 40 (23), 4026-4034. doi: 10.1021/acs.organomet.1c00577.
J. Piotrowski, and J. Huisman. Dataset, (2021)Related to: Piotrowski, Joseph; Huisman, Johan A.; Nachshon, Uri; Pohlmeier, Andreas; Vereecken, Harry. 2020. "Gas Permeability of Salt Crusts Formed by Evaporation from Porous Media" Geosciences 10, no. 11: 423. doi: 10.3390/geosciences10110423.
D. Holzmüller. Software, (2022)Related to: David Holzmüller and Dirk Pflüger. Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework. Sparse Grids and Applications - Munich 2018 (2021). doi: 10.1007/978-3-030-81362-8_4.
L. Schepp, B. Ahrens, M. Balcewicz, M. Duda, M. Nehler, M. Osorno, D. Uribe, H. Steeb, B. Nigon, F. Stöckhert and 5 other author(s). Dataset, (2020)Related to: Schepp, L.L., Ahrens, B., Balcewicz, M., Duda, M., Nehler, M., Osorno, M., Uribe, D., Steeb, S., Nigon, B., Stöckhert, F., Swanson, D.A., Siegert, M., Gurris, M. & Saenger, E.H. (2020). Digital rock physics and laboratory considerations on a high-porosity volcanic rock. Scientific Reports, 10, 5840. doi: 10.1038/s41598-020-62741-1.
M. Ruf, and H. Steeb. 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.
S. Wang, L. Findeisen, S. Leptihn, M. Wallace, M. Hörning, and S. Nussberger. Dataset, (2022)Related to: Shuo Wang, Lukas Findeisen, Sebastian Leptihn, Mark I. Wallace, Marcel Hörning, Stephan Nussberger. Spatiotemporal stop-and-go dynamics of the mitochondrial TOM core complex correlates with channel activity. Commun Biol 5, 471 (2022). doi: 10.1038/s42003-022-03419-4.
F. Euchner, and M. Gauger. Dataset, (2021)Related to: F. Euchner, M. Gauger, S. Dörner, S. ten Brink: Ä Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning". In: WSA 2021 : 25th International ITG Workshop on Smart Antennas. Berlin : VDE Verlag, 2021 (ITG-Fachbericht 300), S. 289-294, ISBN: 978-3-8007-5686-5.
C. Bringedal, G. Pieters, and C. Duijn. Dataset, (2022)Related to: C. Bringedal, T. Schollenberger, G. J. M. Pieters, C. J. van Duijn, R. Helmig, Evaporation-driven density instabilities in saturated porous media. Transport in Porous Media. 2022. doi: 10.1007/s11242-022-01772-w.
F. Euchner, and M. Gauger. Dataset, (2021)Related to: F. Euchner, M. Gauger, S. Dörner, S. ten Brink: Ä Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning". In: WSA 2021 : 25th International ITG Workshop on Smart Antennas. Berlin : VDE Verlag, 2021 (ITG-Fachbericht 300), S. 289-294, ISBN: 978-3-8007-5686-5.
M. Ruf, and H. Steeb. 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.
C. Tapia Camu. Dataset, (2022)Related to: Tapia, C. (2022). Variation of mechanical properties in oak boards and its effect on glued laminated timber: Application to a stochastic finite element glulam strength model Ph.D. thesis, Materials Testing Institute, University of Stuttgart, Germany. Cuvillier Verlag. ISBN 978-3-7369-7588-0; 978-3-73696-588-1. url: https://cuvillier.de/de/shop/publications/8616-variation-of-mechanical-properties-in-oak-boards-and-its-effect-on-glued-laminated-timber.
D. Zink. Dataset, (2020)Related to: PhD thesis in progress: Methoden für die Bewertung des Leichtbaupotenzials sowie der Fertigbarkeit von Bauteilgeometrien bezüglich der Umsetzung in Faserverbundbauweisen.
A. Baier, and S. Staab. Dataset, (2022)Related to: Baier, A., Boukhers, Z., & Staab, S. (2021). Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. arXiv: 2103.06727.
D. Holzmüller. Software, (2021)Related to: David Holzmüller. On the Universality of the Double Descent Peak in Ridgeless Regression. International Conference on Learning Representations, 2021. arXiv: 2010.01851.