7 Publikationen
2025 | Artikel | FH-PUB-ID: 6445 | 
Bachmann, Bernhard, Luca Bonaventura, Francesco Casella, Soledad Fernández-García, Macarena Gómez-Mármol, and Philip Hannebohm. “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework.” Journal of Scientific Computing 105, no. 1 (2025). https://doi.org/10.1007/s10915-025-03049-y.
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2025 | Preprint | FH-PUB-ID: 6448 |
Brandt, Felix, Andreas Heuermann, Philip Hannebohm, and Bernhard Bachmann. “Residual-Informed Learning of Solutions to Algebraic Loops.” ArXiv:2510.09317, 2025.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6449 |
Casella, Francesco, Bernhard Bachmann, Karim Abdelhak, Philip Hannebohm, and Teus Van der Stelt. “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 Electronic Conference Proceedings. Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp218109.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6359 |
Langenkamp, Linus, Philip Hannebohm, and Bernhard Bachmann. “Efficient Training of Physics-Enhanced Neural ODEs via Direct Collocation and Nonlinear Programming.” In Proceedings of the 16th International Modelica&FMI Conference, edited by Dirk Zimmer and Ulf Christian Müller, 218:445–57. Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp218445.
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2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 |
Hannebohm, Philip, and Bernhard Bachmann. “Selective Evaluation of RHS during Multi-Rate Simulation.” In Proceedings of the 16th International Modelica&FMI Conference, edited by Dirk Zimmer and Ulf Christian Müller, 218:943–947. Linköping Electronic Conference Proceedings. Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp218943.
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2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4620 |
Heuermann, Andreas, Philip Hannebohm, Matthias Schäfer, and Bernhard Bachmann. “Fehlerkontrollierte ML-Surrogate Zur Beschleunigten Simulation Nichtlinearer Gleichungssysteme in Modelica.” Unpublished, 2023. https://doi.org/10.13140/RG.2.2.11838.70729.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4618
Heuermann, Andreas, Philip Hannebohm, Matthias Schäfer, and Bernhard Bachmann. “Accelerating the Simulation of Equation-Based Models by Replacing Non-Linear Algebraic Loops with Error-Controlled Machine Learning Surrogates.” In Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11, edited by Dirk Müller, Antonello Monti, and Andrea Benigni, 204:275–84. Linköping Electronic Conference Proceedings. Linköping University Electronic Press, 2023. https://doi.org/10.3384/ecp204275.
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7 Publikationen
2025 | Artikel | FH-PUB-ID: 6445 |
Bachmann, Bernhard, Luca Bonaventura, Francesco Casella, Soledad Fernández-García, Macarena Gómez-Mármol, and Philip Hannebohm. “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework.” Journal of Scientific Computing 105, no. 1 (2025). https://doi.org/10.1007/s10915-025-03049-y.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Preprint | FH-PUB-ID: 6448 |
Brandt, Felix, Andreas Heuermann, Philip Hannebohm, and Bernhard Bachmann. “Residual-Informed Learning of Solutions to Algebraic Loops.” ArXiv:2510.09317, 2025.
HSBI-PUB
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6449 |
Casella, Francesco, Bernhard Bachmann, Karim Abdelhak, Philip Hannebohm, and Teus Van der Stelt. “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 Electronic Conference Proceedings. Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp218109.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6359 |
Langenkamp, Linus, Philip Hannebohm, and Bernhard Bachmann. “Efficient Training of Physics-Enhanced Neural ODEs via Direct Collocation and Nonlinear Programming.” In Proceedings of the 16th International Modelica&FMI Conference, edited by Dirk Zimmer and Ulf Christian Müller, 218:445–57. Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp218445.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 |
Hannebohm, Philip, and Bernhard Bachmann. “Selective Evaluation of RHS during Multi-Rate Simulation.” In Proceedings of the 16th International Modelica&FMI Conference, edited by Dirk Zimmer and Ulf Christian Müller, 218:943–947. Linköping Electronic Conference Proceedings. Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp218943.
HSBI-PUB
| Dateien verfügbar
| DOI
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4620 |
Heuermann, Andreas, Philip Hannebohm, Matthias Schäfer, and Bernhard Bachmann. “Fehlerkontrollierte ML-Surrogate Zur Beschleunigten Simulation Nichtlinearer Gleichungssysteme in Modelica.” Unpublished, 2023. https://doi.org/10.13140/RG.2.2.11838.70729.
HSBI-PUB
| Dateien verfügbar
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4618
Heuermann, Andreas, Philip Hannebohm, Matthias Schäfer, and Bernhard Bachmann. “Accelerating the Simulation of Equation-Based Models by Replacing Non-Linear Algebraic Loops with Error-Controlled Machine Learning Surrogates.” In Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11, edited by Dirk Müller, Antonello Monti, and Andrea Benigni, 204:275–84. Linköping Electronic Conference Proceedings. Linköping University Electronic Press, 2023. https://doi.org/10.3384/ecp204275.
HSBI-PUB
| DOI