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.
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.
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.
N. Pathmanathan, S. Öney, M. Becher, M. Sedlmair, D. Weiskopf, and K. Kurzhals. Software, (2023)Related to: Pathmanathan, N., Öney, S., Becher, M., Sedlmair, M., Weiskopf, D. and Kurzhals, K. (2023), Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments. Computer Graphics Forum, 42: 385-396. doi: 10.1111/cgf.14838.
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.
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).
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.