Y. Li, P. Hirmer, and C. Stach. 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), page 583-588. IEEE, (2023)
A. Fieschi, Y. Li, P. Hirmer, C. Stach, and B. Mitschang. Service-Oriented Computing : 17th Symposium and Summer School, SummerSOC 2023, Heraklion, Crete, Greece, June 25 – July 1, 2023, Revised Selected Papers, 1847, page 59-68. Cham, Springer, (2023)
D. Schneider, and B. Uekermann. Software, (2024)Related to: D. Schneider and B. Uekermann, "Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", SIAM Journal on Scientific Computing, (Accepted), 2024.
J. Pelzer. Dataset, (2024)Related to: Johanna Trick. "Erweiterung eines Convolutional Neural Network auf 3D zur Modellierung von Grundwasserwärmepumpen". Bachelor Thesis (2024). (unpublished).
D. Schneider, M. Yurt, F. Simonis, and B. Uekermann. Software, (2024)Related to: David Schneider, Muhammed Kürşat Yurt, Frédéric Simonis and Benjamin Uekermann. "ASTE: An artificial solver testing environment for partitioned coupling with preCICE." Journal of Open Source Software, 9(103), 7127. doi: 10.21105/joss.07127.
J. Pelzer. Dataset, (2024)Related to: Miliczek, Pascal. "Rotational Equivariance in Convolutional Neural Networks (CNNs) for Modelling Heat Plumes of Heat Pumps in Groundwater". Bachelor Thesis (2024). doi: 10.18419/opus-15412.
J. Pelzer. Dataset, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Scalable Machine Learning Approach for Heat Transport in Groundwater". In proceedings of 23rd International Conference of Machine Learning and Applications (2024). In progress.
C. Homs Pons, D. Schneider, F. Simonis, M. Schulte, and B. Uekermann. Software, (2024)Related to: Carme Homs-Pons, David Schneider, Frederic Simonis, Miriam Schulte, and Benjamin Uekermann. “Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model” (in review).
