7 Publikationen
2025 | Artikel | FH-PUB-ID: 6445 | 
Bachmann, B., Bonaventura, L., Casella, F., Fernández-García, S., Gómez-Mármol, M., & Hannebohm, P. (2025). Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. Journal of Scientific Computing, 105(1). https://doi.org/10.1007/s10915-025-03049-y
HSBI-PUB
| DOI
| Download (ext.)
2025 | Preprint | FH-PUB-ID: 6448 |
Brandt, F., Heuermann, A., Hannebohm, P., & Bachmann, B. (2025). Residual-Informed Learning of Solutions to Algebraic Loops. ArXiv:2510.09317.
HSBI-PUB
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6449 |
Casella, F., Bachmann, B., Abdelhak, K., Hannebohm, P., & Van der Stelt, T. (2025). Diagnosing Newton’s Solver Convergence Failures in the Initialization of Modelica Models. In Proceedings of the 16th International Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU) (Vol. 218). Linköping University Electronic Press. https://doi.org/10.3384/ecp218109
HSBI-PUB
| DOI
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6359 |
Langenkamp, L., Hannebohm, P., & Bachmann, B. (2025). Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming. In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International Modelica&FMI Conference (Vol. 218, pp. 445–457). Luzern: Linköping University Electronic Press. https://doi.org/10.3384/ecp218445
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 |
Hannebohm, P., & Bachmann, B. (2025). Selective Evaluation of RHS during Multi-Rate Simulation. In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International Modelica&FMI Conference (Vol. 218, pp. 943–947). Lucerne: Linköping University Electronic Press. https://doi.org/10.3384/ecp218943
HSBI-PUB
| Dateien verfügbar
| DOI
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4620 |
Heuermann, A., Hannebohm, P., Schäfer, M., & Bachmann, B. (2023). Fehlerkontrollierte ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in Modelica. Presented at the KI@HSBI 2023 Kongress, Bielefeld: Unpublished. https://doi.org/10.13140/RG.2.2.11838.70729
HSBI-PUB
| Dateien verfügbar
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4618
Heuermann, A., Hannebohm, P., Schäfer, M., & Bachmann, B. (2023). Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates. In D. Müller, A. Monti, & A. Benigni (Eds.), Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11 (Vol. 204, pp. 275–284). Aachen: Linköping University Electronic Press. https://doi.org/10.3384/ecp204275
HSBI-PUB
| DOI
Suche
Publikationen filtern
Darstellung / Sortierung
Export / Einbettung
7 Publikationen
2025 | Artikel | FH-PUB-ID: 6445 |
Bachmann, B., Bonaventura, L., Casella, F., Fernández-García, S., Gómez-Mármol, M., & Hannebohm, P. (2025). Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. Journal of Scientific Computing, 105(1). https://doi.org/10.1007/s10915-025-03049-y
HSBI-PUB
| DOI
| Download (ext.)
2025 | Preprint | FH-PUB-ID: 6448 |
Brandt, F., Heuermann, A., Hannebohm, P., & Bachmann, B. (2025). Residual-Informed Learning of Solutions to Algebraic Loops. ArXiv:2510.09317.
HSBI-PUB
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6449 |
Casella, F., Bachmann, B., Abdelhak, K., Hannebohm, P., & Van der Stelt, T. (2025). Diagnosing Newton’s Solver Convergence Failures in the Initialization of Modelica Models. In Proceedings of the 16th International Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU) (Vol. 218). Linköping University Electronic Press. https://doi.org/10.3384/ecp218109
HSBI-PUB
| DOI
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6359 |
Langenkamp, L., Hannebohm, P., & Bachmann, B. (2025). Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming. In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International Modelica&FMI Conference (Vol. 218, pp. 445–457). Luzern: Linköping University Electronic Press. https://doi.org/10.3384/ecp218445
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 |
Hannebohm, P., & Bachmann, B. (2025). Selective Evaluation of RHS during Multi-Rate Simulation. In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International Modelica&FMI Conference (Vol. 218, pp. 943–947). Lucerne: Linköping University Electronic Press. https://doi.org/10.3384/ecp218943
HSBI-PUB
| Dateien verfügbar
| DOI
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4620 |
Heuermann, A., Hannebohm, P., Schäfer, M., & Bachmann, B. (2023). Fehlerkontrollierte ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in Modelica. Presented at the KI@HSBI 2023 Kongress, Bielefeld: Unpublished. https://doi.org/10.13140/RG.2.2.11838.70729
HSBI-PUB
| Dateien verfügbar
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4618
Heuermann, A., Hannebohm, P., Schäfer, M., & Bachmann, B. (2023). Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates. In D. Müller, A. Monti, & A. Benigni (Eds.), Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11 (Vol. 204, pp. 275–284). Aachen: Linköping University Electronic Press. https://doi.org/10.3384/ecp204275
HSBI-PUB
| DOI