M. Becker, M. Seidl, M. Mehl, and M. Souli. 8th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry, page 377-380. Kassel, kassel university press, (2019)
D. Blom, B. Uekermann, M. Mehl, A. van Zuijlen, and H. Bijl. Recent trends in computational engineering : optimization, uncertainty, parallel algorithms, coupled and complex problems, 105, page 135-150. Cham, Springer, (2015)
G. Chourdakis, K. Davis, B. Rodenberg, M. Schulte, F. Simonis, B. Uekermann, G. Abrams, H. Bungartz, L. Cheun Yau, I. Desai and 10 other author(s). Software, (2021)Related to: Chourdakis, G., Davis, K., Rodenberg, B., Schulte, M., Simonis, F., Uekermann, B., Abrams, G., Bungartz, H.-J., Cheung Yau, L., Desai, I., Eder, K., Hertrich, R., Lindner, F., Rusch, A., Sashko, D., Schneider, D., Totounferoush, A., Volland, D., Vollmer, P. and Ziya Koseomur, O., 2021. preCICE v2: A Sustainable and User-Friendly Coupling Library. arXiv preprint. arXiv: 2109.14470.
N. Emamy, P. Litty, T. Klotz, M. Mehl, and O. Röhrle. IUTAM Symposium on Model Order Reduction of Coupled Systems, volume 36 of IUTAM Bookseries, page 177-190. Springer Nature, (2019)
F. Franzelin, P. Diehl, and D. Pflüger. Meshfree methods for partial differential equations, volume 7 of Lecture notes in computational science and engineering, page 115-143. Cham, Springer, (2015)
A. Heinecke, R. Karlstetter, D. Pflüger, and H. Bungartz. Combined Special issues on GCE15 Special Issue Conference Publications and New advances in High Performance Computing and simulation: parallel and distributed systems, algorithms, and applications (HPCS 2013), 28, 7, page 2145-2165. Chichester, Wiley-Blackwell, (2016)
F. Huber, P. Bürkner, D. Göddeke, and M. Schulte. Dataset, (2023)Related to: Huber, Felix; Bürkner, Paul-Christian; Göddeke, Dominik; Schulte, MiriamKnowledge-Based Modeling of Simulation Behavior for Bayesian OptimizationComputational Mechanics (submitted).
A. Jaust, and P. Schmidt. Software, (2021)Related to: Schmidt, P., Jaust, A., Steeb, H., and Schulte, M.: "Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach". Computational Geosciences (2022). doi: 10.1007/s10596-021-10120-8.
A. Jaust, K. Weishaupt, B. Flemisch, and M. Schulte. Dataset, (2021)Related to: Jaust A., Weishaupt K., Mehl M., Flemisch B. (2020) Partitioned Coupling Schemes for Free-Flow and Porous-Media Applications with Sharp Interfaces. In: Klöfkorn R., Keilegavlen E., Radu F., Fuhrmann J. (eds) Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. FVCA 2020. Springer Proceedings in Mathematics & Statistics, vol 323. Springer, Cham. doi: 10.1007/978-3-030-43651-3_57.
F. Lindner, M. Mehl, K. Scheufele, and B. Uekermann. Coupled Problems in Science and Engineering VI : Coupled Problems 2015 : proceedings of the VI International Conference on Coupled Problems in Science and Engineering, page 477-488. Barcelona, CIMNE, (2015)
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. Pelzer. Software, (2024)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. Pelzer. Software, (2024)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. 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. 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. 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.
T. Schrader, D. Schneider, and 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).
F. Simonis, K. Davis, and B. Uekermann. Software, (2022)Related to: Chourdakis, G., Davis, K., Rodenberg, B., Schulte, M., Simonis, F., Uekermann, B., Abrams, G., Bungartz, H.-J., Cheung Yau, L., Desai, I., Eder, K., Hertrich, R., Lindner, F., Rusch, A., Sashko, D., Schneider, D., Totounferoush, A., Volland, D., Vollmer, P. and Ziya Koseomur, O., 2021. preCICE v2: A Sustainable and User-Friendly Coupling Library. arXiv preprint. arXiv: 2109.14470.
L. Willeke, D. Schneider, and 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).