A. Wagner, A. Sonntag, S. Reuschen, W. Nowak, und W. Ehlers. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 1, Seite e202200118. Wiley-VCH, (2023)
M. Suditsch, T. Ricken, und A. Wagner. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 1, Seite e202200213. Wiley-VCH, (2023)
N. Segreto, und J. Kästner. Dataset, (2023)Related to: Nico Segreto, Tim M. Schwarz, Carolin A. Dietrich, Patrick Stender, Robin Schuldt, Guido Schmitz, and Johannes Kästner. Understanding the Underlying Field Evaporation Mechanism of Pure Water Tips in High Electrical Fields. J. Phys. Chem. A 2022, 126, 33, 5663-5671. doi: 10.1021/acs.jpca.2c04163.
T. Schrader, D. Schneider, und B. Uekermann. Software, (2023)Related to: David Schneider, Timo Pierre Schrader, Benjamin Uekermann: "Data-Parallel Radial-Basis Function Interpolation in preCICE", International Conference on Computational Methods for Coupled Problems in Science and Engineering 2023 (in preparation).
L. Willeke, D. Schneider, und B. Uekermann. Software, (2023)Related to: Willeke, Leonard; Schneider, David; Uekermann, Benjamin; 2023; Ä preCICE-FMI runner to Couple FMUs to PDE-Based Simulations" (submitted).
M. Ruf, D. Lee, und 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, und 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. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
M. Franke, und S. Koch. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP, 3 : IVAPP, Seite 40-52. Setúbal, SciTePress, (2023)
J. Kießling, M. Tondera, und T. Maier. Stuttgarter Symposium für Produktentwicklung SSP 2023 : Tagungsband zur Konferenz, Stuttgart, 25. Mai 2023, Seite 428-439. Stuttgart, Fraunhofer IAO, (2023)
M. Racs, D. Holder, M. Hutter, T. Maier, und B. Gundelsweiler. Stuttgarter Symposium für Produktentwicklung SSP 2023 : Tagungsband zur Konferenz, Stuttgart, 25. Mai 2023, Seite 524-535. Stuttgart, Fraunhofer IAO, (2023)
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.
M. Rosenfelder, H. Ebel, und P. Eberhard. Dataset, (2023)Related to: Rosenfelder, M., Ebel, H., Eberhard, P. (2023). A Force-Based Formation Synthesis Approach for the Cooperative Transportation of Objects. In: Petrič, T., Ude, A., Žlajpah, L. (eds) Advances in Service and Industrial Robotics. RAAD 2023. Mechanisms and Machine Science, vol 135. Springer, Cham. doi: 10.1007/978-3-031-32606-6_37.
L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, und A. Bruhn. Dataset, (2023)Related to: Lukas Mehl, Jenny Schmalfuss, Azin Jahedi, Yaroslava Nalivayko, Andrés Bruhn: Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. arXiv: 2303.01943.
H. Jäger. Software, (2023)Related to: Jäger, Henrik, Alexander Schlaich, Jie Yang, Cheng Lian, Svyatoslav Kondrat und Christian Holm. 2023. A screening of results on the decay length in concentrated electrolytes. Faraday Discussions. Faraday Discussions (Februar). doi: 10.1039/d3fd00043e.
J. Rettberg, D. Wittwar, P. Buchfink, A. Brauchler, P. Ziegler, J. Fehr, und B. Haasdonk. Dataset, (2023)Related to: Rettberg, J.; Wittwar, D.; Buchfink, P.; Brauchler, A.; Ziegler, P.; Fehr, J.; Haasdonk, B.: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. Mathematical and Computer Modelling of Dynamical Systems, 2023. doi: 10.1080/13873954.2023.2173238.
M. Gil Pérez, P. Mindermann, C. Zechmeister, D. Forster, Y. Guo, S. Hügle, F. Kannenberg, L. Balangé, V. Schwieger, P. Middendorf und 4 andere Autor(en). Dataset, (2023)Related to: Gil Pérez, M., Mindermann, P., Zechmeister, C., Forster, D., Guo, Y., Hügle, S., Kannenberg, F., Balangé, L., Schwieger, V., Middendorf, P., Bischoff, M., Menges, A., Gresser, G., & Knippers, J. (2023). Data processing, analysis, and evaluation methods for co-design of coreless filament-wound building systems. Journal of Computational Design and Engineering under review.
A. Baier, und D. Frank. Software, (2023)Related to: Baier, Alexandra, Boukhers, Zeyd, & Staab, Steffen (2021). Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. ArXiv, abs/2103.06727. arXiv: abs/2103.06727.
S. Wang, und S. Nußberger. Dataset, (2023)Related to: Shuo Wang, Stephan Nussberger, Tracking the activity and position of mitochondrial beta-barrel proteins, In: Membrane beta-barrel proteins: Methods and Protocols, Ieva, R. ed., Springer Protocols - Methods in Molecular Biology, in press (2023).