J. Groos, M. Koy, J. Musso, M. Neuwirt, T. Pham, P. Hauser, W. Frey, and M. Buchmeiser. Dataset, (2023)Related to: Jonas Groos, Maximilian Koy, Janis Musso, Michael Neuwirt, Thao Pham, Philipp M. Hauser, Wolfgang Frey, and Michael R. Buchmeiser. Ligand Variations in Neutral and Cationic Molybdenum Alkylidyne NHC Catalysts. Organometallics, 41, 1167-1183 (2022). doi: 10.1021/acs.organomet.2c00080.
Z. Trivedi, J. Wychowaniec, D. Gehweiler, C. Sprecher, A. Boger, B. Gueorguiev, M. D'Este, T. Ricken, and O. Röhrle. Dataset, (2024)Related to: Trivedi, Z., Wychowaniec, J. K., Gehweiler, D., Sprecher, C. M., Boger, A., Gueorguiev, B., D’Este, M., Ricken, T., & Röhrle, O. (2023). Rheological Analysis and Evaluation of Measurement Techniques for the Curing Polymethylmethacrylate Bone Cement in Vertebroplasty. arXiv: arXiv:2312.11426.
S. Vahid Dastjerdi, N. Karadimitriou, and H. Steeb. Dataset, (2022)Related to: Vahid Dastjerdi, S.; Karadimitriou, N.; Hassanizadeh, S. M. & Steeb, H.: Experimental evaluation of fluid connectivity in two-phase flow in porous media. Advances in Water Resources 172 (2023), 104378. doi: 10.1016/j.advwatres.2023.104378.
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.
J. Kneifl, and J. Fehr. Software, (2023)Related to: Kneifl, J., Kutz, J. N., Brunton, S.L., Fehr, J.: Multi-Hierarchical Surrogate Learning of Structural Dynamical Systems Using Graph Convolutional Neural Networks. To be submitted (2023).
S. König, and S. Schabio. FabLearn Europe / MakeEd 2022 : 6th FabLearn Europe / MakeEd Conference 2022, page 14. New York, Association for Computing Machinery, (2022)
E. Goldstein, M. Buchmeiser, F. Ziegler, A. Beurer, Y. Traa, and J. Bruckner. Dataset, (2023)Related to: Elizabeth L. Goldstein, Felix Ziegler, Ann-Katrin Beurer, Yvonne Traa, Johanna R. Bruckner, and Michael R. Buchmeiser, Cationic Molybdenum Imido Alkylidene N-Heterocyclic Carbene Complexes Confined in Mesoporous Silica: Tuning Transition States Towards Z-Selective Ring-Opening Cross-Metathesis, ChemCatChem 2022, 14, e202201008. doi: 10.1002/cctc.202201008.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks.
A. Krtschil, L. Orozco, A. Shah, T. Chen, A. Menges, and J. Knippers. Dataset, (2024)Related to: Anna Krtschil, Luis Orozco, Simon Bechert, Hans Jakob Wagner, Felix Amtsberg, Tzu-Ying Chen, Anand Shah, Achim Menges, Jan Knippers, "Structural development of a novel punctually supported timber building system for multi-storey construction", Journal of Building Engineering, Volume 58, 2022, pages 104972. doi: 10.1016/j.jobe.2022.104972.
F. Klinaku, S. Speth, M. Zilch, and S. Becker. ICPE '23 Companion : Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, page 277-282. New York, Association for Computing Machinery, (2023)
T. Munz-Körner, and D. Weiskopf. Software, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
M. Koch, K. Kurzhals, Q. Ngo, and D. Weiskopf. Dataset, (2024)Related to: Daniel Klötzl, Tim Krake, Frank Heyen, Michael Becher, Maurice Koch, Daniel Weiskopf, and Kuno Kurzhals. 2024. NMF-Based Analysis of Mobile Eye-Tracking Data. In 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), June 4-7, 2024, Glasgow, United Kingdom. ACM, New York, NY, USA, 9 pages. doi: 10.1145/3649902.3653518.