J. Rettberg, D. Wittwar, P. Buchfink, A. Brauchler, P. Ziegler, J. Fehr, and 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.
S. Vriend, S. Vidyapu, A. Rama, K. Chen, and D. Weiskopf. Software, (2023)Related to: Sandeep Vidyapu, Sita A. Vriend, Amer Rama, Kun-Ting Chen, Daniel, Weiskopf. 2023. Which Experimental Design is Better Suited for VQA Tasks? - Eye TrackingStudy on Cognitive Load, Performance, and Gaze Allocations.
D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2023)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2023. arXiv: 2203.09410.
M. Petroff, R. Kulenovic, and J. Starflinger. Proceedings of 2021 28th International Conference on Nuclear Engineering (ICONE 28), 2 : Nuclear fuels, research, and fuel cycle; nuclear codes and standards; thermal-hydraulics, page V002T07A031. the American Society of Mechanical Engineers, (2021)
S. Ding, A. Morozov, T. Fabarisov, and S. Vock. Proceedings of ASME 2021 International Mechanical Engineering Congress and Exposition (IMECE 2021), 13 : Safety engineering, risk, and reliability analysis; research posters, page V013T14A025. the American Society of Mechanical Engineers, (2021)
P. Grimmeisen, A. Karimov, M. Diaconeasa, and A. Morozov. Proceedings of ASME 2021 International Mechanical Engineering Congress and Exposition (IMECE 2021), 13 : Safety engineering, risk, and reliability analysis; research posters, page V013T14A030. the American Society of Mechanical Engineers, (2021)
Y. Ma, A. Morozov, and S. Ding. Proceedings of ASME 2021 International Mechanical Engineering Congress and Exposition (IMECE 2021), 13 : Safety engineering, risk, and reliability analysis; research posters, page V013T14A038. the American Society of Mechanical Engineers, (2021)
F. Silber, L. Stumpfrock, and S. Weihe. Proceedings of ASME 2021 Pressure Vessels and Piping Conference (PVP2021), 3 : Fluid-structure interaction - high pressure technology, page V003T04A019. New York, NY, USA, the American Society of Mechanical Engineers, (2021)
T. Schopf, S. Weihe, T. Daniel, M. Smaga, T. Beck, and J. Rudolph. Proceedings of ASME 2021 Pressure Vessels and Piping Conference (PVP2021), 4 : Materials and fabrication, the American Society of Mechanical Engineers, (2021)
S. Weihe, L. Stumpfrock, U. Weber, P. Gauder, and M. Seidenfuß. Proceedings of ASME 2021 Pressure Vessels and Piping Conference (PVP2021), 2 : Computer technology and bolted joints - design and analysis, page V002T03A047. the American Society of Mechanical Engineers, (2021)
J. Fehr, D. Grunert, A. Bhatt, and B. Haasdonk. 89th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 18, 1, page e201800275. Wiley, (2018)
M. Steffen. Dataset, (2023)Related to: Maier, S.: Simulation of a Novel Restraint Safety Concept for Motorcycles, Dissertation, University of Stuttgart, Shaker Verlag, Aachen, tbd.
S. Gravelle, D. Beyer, M. Brito, A. Schlaich, and C. Holm. Software, (2023)Related to: Simon Gravelle, David Beyer, Mariano Brito, Alexander Schlaich, Christian Holm: Reconstruction of NMR Relaxation Rates from Coarse-Grained Polymer Simulations, ChemRxiv, 2022. Preprint. doi: 10.26434/chemrxiv-2022-f90tv-v2.
A. Jeltsch, P. Schnee, M. Khella, S. Weirich, J. Pleiss, and P. Bashtrykov. Software, (2023)Related to: Mina S. Khella, Philipp Schnee, Sara Weirich, Tan Bui, Alexander Bröhm, Pavel Bashtrykov, Jürgen Pleiss, Albert Jeltsch: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation. J Biol Chem, 2023, 5, 104796. doi: 10.1016/j.jbc.2023.104796.
L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, and 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.
M. Gil Pérez, C. Zechmeister, F. Kannenberg, P. Mindermann, L. Balangé, Y. Guo, S. Hügle, A. Gienger, D. Forster, M. Bischoff and 6 other author(s). Dataset, (2023)Related to: Gil Pérez, M., Zechmeister, C., Kannenberg, F., Mindermann, P., Balangé, L., Guo, Y., Hügle, S., Gienger, A., Forster, D., Bischoff, M., Tarín, C., Middendorf, P., Schwieger, V., Gresser, G. T., Menges, A., Knippers, J.: 2022, Computational co-design framework for coreless wound fibre-polymer composite structures. Journal of Computational Design and Engineering, 9(2), pp. 310-329. doi: 10.1093/jcde/qwab081.
A. Jüngert, O. Jacobs, P. Gauder, and S. Weihe. Proceedings of ASME 2021 Pressure Vessels and Piping Conference (PVP2021), 5 : Operations, Applications, and Components - Seismic Engineering - Non-Destructive Examination, page V005T09A003. Red Hook, Curran Associates, Inc., (2021)
J. Ehrler, A. Solodov, Y. Bernhardt, and M. Kreutzbruck. Proceedings of 2021 48th Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE2021), page V001T13A003. Red Hook, Curran Associates, Inc., (2021)
S. Gravelle, C. Holm, and A. Schlaich. Software, (2023)Related to: Simon Gravelle, Sabina Haber-Pohlmeier, Carlos Mattea, Siegfried Stapf, Christian Holm and Alexander Schlaich: NMR Investigation of Water in Salt Crusts: Insights from Experiments and Molecular Simulations, ChemRxiv, 2023. doi: 10.26434/chemrxiv-2023-6dml7.
S. Gravelle, C. Holm, and A. Schlaich. Software, (2023)Related to: Simon Gravelle, Sabina Haber-Pohlmeier, Carlos Mattea, Siegfried Stapf, Christian Holm and Alexander Schlaich: NMR Investigation of Water in Salt Crusts: Insights from Experiments and Molecular Simulations, ChemRxiv, 2023. doi: 10.26434/chemrxiv-2023-6dml7.
P. Kurzeja, and H. Steeb. Philosophical transactions of the Royal Society. Series A, Mathematical, physical and engineering sciences, 380 (2237):
20210370(2022)
J. Nicodemus, J. Kneifl, J. Fehr, and B. Unger. 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, 55, 20, page 331-336. Elsevier, (2022)
J. Ziegler, P. Reimann, C. Schulz, F. Keller, and B. Mitschang. 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), page 222-227. Piscataway, IEEE, (2022)
D. Elshani, A. Lombardi, D. Hernández, S. Staab, A. Fisher, and T. Wortmann. Software, (2023)Related to: Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., & Wortmann, T. (2022). Knowledge Graphs for Multidisciplinary Co-Design: Introducing RDF to BHoM. In: Proceedings of the 10th Linked Data in Architecture and Construction Workshop (LDAC 2022). CEUR Workshop Proceedings 3213, pp. 32-42. url: https://ceur-ws.org/Vol-3213/paper03.pdf.
M. Kelm, C. Bringedal, and 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.
Y. Wang. Software, (2023)Related to: Y. Wang, M. Bâce and A. Bulling, "Scanpath Prediction on Information Visualisations," in IEEE Transactions on Visualization and Computer Graphics. doi: 10.1109/TVCG.2023.3242293.
S. Laicher, S. Kurtyigit, D. Schlechtweg, J. Kuhn, and S. Schulte im Walde. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics : Student Research Workshop, page 192-202. Stroudsburg, Association for Computational Linguistics, (2021)
V. Zaverkin, D. Holzmüller, L. Bonfirraro, and J. Kästner. Dataset, (2023)Related to: Viktor Zaverkin, David Holzmüller, Luca Bonfirraro, Johannes Kästner. Transfer learning for chemically accurate interatomic neural network potentials, Phys. Chem. Chem. Phys., 2023, 25, 5383-5396. doi: 10.1039/D2CP05793J.
L. Keim, H. Class, L. Schirmer, B. Strauch, K. Wendel, and 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, and 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, 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.