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[4]
2025 | Konferenzbeitrag | FH-PUB-ID: 6359 | OA
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.)
 
[3]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 | OA
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
 
[2]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4620 | OA
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 Presented at the KI@HSBI 2023 Kongress, Bielefeld: Unpublished.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
 
[1]
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
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4 Publikationen

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[4]
2025 | Konferenzbeitrag | FH-PUB-ID: 6359 | OA
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.)
 
[3]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 | OA
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
 
[2]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4620 | OA
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
 
[1]
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
 

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