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7 Publikationen

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[7]
2025 | Artikel | FH-PUB-ID: 6445 | OA
Bachmann B, Bonaventura L, Casella F, Fernández-García S, Gómez-Mármol M, Hannebohm P. Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. Journal of Scientific Computing. 2025;105(1). doi:10.1007/s10915-025-03049-y
HSBI-PUB | DOI | Download (ext.)
 
[6]
2025 | Preprint | FH-PUB-ID: 6448 | OA
Brandt F, Heuermann A, Hannebohm P, Bachmann B. Residual-Informed Learning of Solutions to Algebraic Loops. arXiv:251009317. 2025.
HSBI-PUB | Download (ext.)
 
[5]
2025 | Konferenzbeitrag | FH-PUB-ID: 6449 | OA
Casella F, Bachmann B, Abdelhak K, Hannebohm P, Van der Stelt T. 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. doi:10.3384/ecp218109
HSBI-PUB | DOI | Download (ext.)
 
[4]
2025 | Konferenzbeitrag | FH-PUB-ID: 6359 | OA
Langenkamp L, Hannebohm P, Bachmann B. Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming. In: Zimmer D, Müller UC, eds. Proceedings of the 16th International Modelica&FMI Conference. Vol 218. Linköping University Electronic Press; 2025:445-457. doi:10.3384/ecp218445
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[3]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 | OA
Hannebohm P, Bachmann B. Selective Evaluation of RHS during Multi-Rate Simulation. In: Zimmer D, Müller UC, eds. Proceedings of the 16th International Modelica&FMI Conference. Vol 218. Linköping Electronic Conference Proceedings. Linköping University Electronic Press; 2025:943–947. doi: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. Fehlerkontrollierte ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in Modelica. In: Unpublished; 2023. doi: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. Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates. In: Müller D, Monti A, Benigni A, eds. Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11. Vol 204. Linköping Electronic Conference Proceedings. Linköping University Electronic Press; 2023:275-284. doi:10.3384/ecp204275
HSBI-PUB | DOI
 

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7 Publikationen

Alle markieren

[7]
2025 | Artikel | FH-PUB-ID: 6445 | OA
Bachmann B, Bonaventura L, Casella F, Fernández-García S, Gómez-Mármol M, Hannebohm P. Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. Journal of Scientific Computing. 2025;105(1). doi:10.1007/s10915-025-03049-y
HSBI-PUB | DOI | Download (ext.)
 
[6]
2025 | Preprint | FH-PUB-ID: 6448 | OA
Brandt F, Heuermann A, Hannebohm P, Bachmann B. Residual-Informed Learning of Solutions to Algebraic Loops. arXiv:251009317. 2025.
HSBI-PUB | Download (ext.)
 
[5]
2025 | Konferenzbeitrag | FH-PUB-ID: 6449 | OA
Casella F, Bachmann B, Abdelhak K, Hannebohm P, Van der Stelt T. 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. doi:10.3384/ecp218109
HSBI-PUB | DOI | Download (ext.)
 
[4]
2025 | Konferenzbeitrag | FH-PUB-ID: 6359 | OA
Langenkamp L, Hannebohm P, Bachmann B. Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming. In: Zimmer D, Müller UC, eds. Proceedings of the 16th International Modelica&FMI Conference. Vol 218. Linköping University Electronic Press; 2025:445-457. doi:10.3384/ecp218445
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[3]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 | OA
Hannebohm P, Bachmann B. Selective Evaluation of RHS during Multi-Rate Simulation. In: Zimmer D, Müller UC, eds. Proceedings of the 16th International Modelica&FMI Conference. Vol 218. Linköping Electronic Conference Proceedings. Linköping University Electronic Press; 2025:943–947. doi: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. Fehlerkontrollierte ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in Modelica. In: Unpublished; 2023. doi: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. Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates. In: Müller D, Monti A, Benigni A, eds. Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11. Vol 204. Linköping Electronic Conference Proceedings. Linköping University Electronic Press; 2023:275-284. doi:10.3384/ecp204275
HSBI-PUB | DOI
 

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