---
_id: '6445'
article_number: '30'
article_type: original
author:
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504183
- first_name: Luca
full_name: Bonaventura, Luca
last_name: Bonaventura
- first_name: Francesco
full_name: Casella, Francesco
last_name: Casella
- first_name: Soledad
full_name: Fernández-García, Soledad
last_name: Fernández-García
- first_name: Macarena
full_name: Gómez-Mármol, Macarena
last_name: Gómez-Mármol
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504184
citation:
alphadin: 'Bachmann, Bernhard ; Bonaventura, Luca ; Casella,
Francesco ; Fernández-García, Soledad
; Gómez-Mármol, Macarena ; Hannebohm, Philip: Self-Adjusting Multi-Rate
Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework.
In: Journal of Scientific Computing Bd. 105, Springer Science and Business
Media LLC (2025), Nr. 1'
ama: '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'
apa: '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'
bibtex: '@article{Bachmann_Bonaventura_Casella_Fernández-García_Gómez-Mármol_Hannebohm_2025,
title={Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation
in An Open Source Framework}, volume={105}, DOI={10.1007/s10915-025-03049-y},
number={130}, journal={Journal of Scientific Computing}, publisher={Springer Science
and Business Media LLC}, author={Bachmann, Bernhard and Bonaventura, Luca and
Casella, Francesco and Fernández-García, Soledad and Gómez-Mármol, Macarena and
Hannebohm, Philip}, year={2025} }'
chicago: '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.'
ieee: 'B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol,
and P. Hannebohm, “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and
Efficient Implementation in An Open Source Framework,” Journal of Scientific
Computing, vol. 105, no. 1, 2025.'
mla: 'Bachmann, Bernhard, et al. “Self-Adjusting Multi-Rate Runge-Kutta Methods:
Analysis and Efficient Implementation in An Open Source Framework.” Journal
of Scientific Computing, vol. 105, no. 1, 30, Springer Science and Business
Media LLC, 2025, doi:10.1007/s10915-025-03049-y.'
short: B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol,
P. Hannebohm, Journal of Scientific Computing 105 (2025).
date_created: 2026-01-14T16:03:23Z
date_updated: 2026-03-17T15:29:30Z
doi: 10.1007/s10915-025-03049-y
intvolume: ' 105'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: Journal of Scientific Computing
publication_identifier:
eissn:
- 1573-7691
issn:
- 0885-7474
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation
in An Open Source Framework'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: '263827'
volume: 105
year: '2025'
...
---
_id: '6448'
author:
- first_name: Felix
full_name: Brandt, Felix
last_name: Brandt
- first_name: Andreas
full_name: Heuermann, Andreas
last_name: Heuermann
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504693
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504694
citation:
alphadin: 'Brandt, Felix ; Heuermann,
Andreas ; Hannebohm, Philip
; Bachmann, Bernhard: Residual-Informed
Learning of Solutions to Algebraic Loops. In: arXiv:2510.09317 (2025)'
ama: Brandt F, Heuermann A, Hannebohm P, Bachmann B. Residual-Informed Learning
of Solutions to Algebraic Loops. arXiv:251009317. 2025.
apa: Brandt, F., Heuermann, A., Hannebohm, P., & Bachmann, B. (2025). Residual-Informed
Learning of Solutions to Algebraic Loops. ArXiv:2510.09317.
bibtex: '@article{Brandt_Heuermann_Hannebohm_Bachmann_2025, title={Residual-Informed
Learning of Solutions to Algebraic Loops}, journal={arXiv:2510.09317}, author={Brandt,
Felix and Heuermann, Andreas and Hannebohm, Philip and Bachmann, Bernhard}, year={2025}
}'
chicago: Brandt, Felix, Andreas Heuermann, Philip Hannebohm, and Bernhard Bachmann.
“Residual-Informed Learning of Solutions to Algebraic Loops.” ArXiv:2510.09317,
2025.
ieee: F. Brandt, A. Heuermann, P. Hannebohm, and B. Bachmann, “Residual-Informed
Learning of Solutions to Algebraic Loops,” arXiv:2510.09317. 2025.
mla: Brandt, Felix, et al. “Residual-Informed Learning of Solutions to Algebraic
Loops.” ArXiv:2510.09317, 2025.
short: F. Brandt, A. Heuermann, P. Hannebohm, B. Bachmann, ArXiv:2510.09317 (2025).
date_created: 2026-01-14T16:09:00Z
date_updated: 2026-03-17T15:29:30Z
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: arXiv:2510.09317
status: public
title: Residual-Informed Learning of Solutions to Algebraic Loops
type: preprint
user_id: '263827'
year: '2025'
...
---
_id: '6449'
author:
- first_name: Francesco
full_name: Casella, Francesco
last_name: Casella
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504612
- first_name: Karim
full_name: Abdelhak, Karim
last_name: Abdelhak
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504613
- first_name: Teus
full_name: Van der Stelt, Teus
last_name: Van der Stelt
citation:
alphadin: 'Casella, Francesco ; Bachmann, Bernhard ; Abdelhak,
Karim ; Hannebohm, Philip
; Van der Stelt, Teus: 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), Linköping
Electronic Conference Proceedings. Bd. 218 : Linköping University Electronic
Press, 2025'
ama: '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'
apa: 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
bibtex: '@inproceedings{Casella_Bachmann_Abdelhak_Hannebohm_Van der Stelt_2025,
series={Linköping Electronic Conference Proceedings}, title={Diagnosing Newton’s
Solver Convergence Failures in the Initialization of Modelica Models}, volume={218},
DOI={10.3384/ecp218109}, booktitle={Proceedings
of the 16th International Modelica&FMI Conference, September 8 – 10, 2025,
Lucerne University of Applied Sciences and Arts (HSLU)}, publisher={Linköping
University Electronic Press}, author={Casella, Francesco and Bachmann, Bernhard
and Abdelhak, Karim and Hannebohm, Philip and Van der Stelt, Teus}, year={2025},
collection={Linköping Electronic Conference Proceedings} }'
chicago: 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.
ieee: F. Casella, B. Bachmann, K. Abdelhak, P. Hannebohm, and T. 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),
2025, vol. 218.
mla: Casella, Francesco, et al. “Diagnosing Newton’s Solver Convergence Failures
in the Initialization of Modelica Models.” 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,
2025, doi:10.3384/ecp218109.
short: 'F. Casella, B. Bachmann, K. Abdelhak, P. Hannebohm, T. Van der Stelt, in:
Proceedings of the 16th International Modelica&FMI Conference, September 8
– 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU), Linköping
University Electronic Press, 2025.'
conference:
name: The 16th International Modelica&FMI Conference, September 8 – 10, 2025, Lucerne
University of Applied Sciences and Arts (HSLU)
date_created: 2026-01-14T16:10:30Z
date_updated: 2026-03-17T15:29:30Z
doi: 10.3384/ecp218109
intvolume: ' 218'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: Proceedings of the 16th International Modelica&FMI Conference, September
8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU)
publication_identifier:
eisbn:
- 978-91-8118-266-8
publication_status: published
publisher: Linköping University Electronic Press
series_title: Linköping Electronic Conference Proceedings
status: public
title: Diagnosing Newton’s Solver Convergence Failures in the Initialization of Modelica
Models
type: conference
user_id: '263827'
volume: 218
year: '2025'
...
---
_id: '6357'
author:
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/198431201
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/198431202
citation:
alphadin: 'Hannebohm, Philip ; Bachmann, Bernhard: Selective Evaluation
of RHS during Multi-Rate Simulation. In: Zimmer,
D. ; Müller, U. C. (Hrsg.):
Proceedings of the 16th International Modelica&FMI Conference, Linköping
Electronic Conference Proceedings. Bd. 218 : Linköping University Electronic
Press, 2025, S. 943–947'
ama: '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'
apa: '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'
bibtex: '@inproceedings{Hannebohm_Bachmann_2025, series={Linköping Electronic Conference
Proceedings}, title={Selective Evaluation of RHS during Multi-Rate Simulation},
volume={218}, DOI={10.3384/ecp218943},
booktitle={Proceedings of the 16th International Modelica&FMI Conference},
publisher={Linköping University Electronic Press}, author={Hannebohm, Philip and
Bachmann, Bernhard}, editor={Zimmer, Dirk and Müller, Ulf ChristianEditors}, year={2025},
pages={943–947}, collection={Linköping Electronic Conference Proceedings} }'
chicago: 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.
ieee: P. Hannebohm and B. Bachmann, “Selective Evaluation of RHS during Multi-Rate
Simulation,” in Proceedings of the 16th International Modelica&FMI Conference,
Lucerne, 2025, vol. 218, pp. 943–947.
mla: Hannebohm, Philip, and Bernhard Bachmann. “Selective Evaluation of RHS during
Multi-Rate Simulation.” Proceedings of the 16th International Modelica&FMI
Conference, edited by Dirk Zimmer and Ulf Christian Müller, vol. 218, Linköping
University Electronic Press, 2025, pp. 943–947, doi:10.3384/ecp218943.
short: 'P. Hannebohm, B. Bachmann, in: D. Zimmer, U.C. Müller (Eds.), Proceedings
of the 16th International Modelica&FMI Conference, Linköping University Electronic
Press, 2025, pp. 943–947.'
conference:
end_date: 2025-09-10
location: Lucerne
name: The 16th International Modelica&FMI Conference
start_date: 2025-09-08
date_created: 2025-12-01T13:48:57Z
date_updated: 2026-03-17T15:29:29Z
department:
- _id: '103'
doi: 10.3384/ecp218943
editor:
- first_name: Dirk
full_name: Zimmer, Dirk
last_name: Zimmer
- first_name: Ulf Christian
full_name: Müller, Ulf Christian
last_name: Müller
file:
- access_level: open_access
content_type: application/pdf
creator: phannebohm
date_created: 2025-12-01T13:55:19Z
date_updated: 2025-12-01T13:55:19Z
file_id: '6358'
file_name: paper.pdf
file_size: 149702
relation: main_file
success: 1
file_date_updated: 2025-12-01T13:55:19Z
has_accepted_license: '1'
intvolume: ' 218'
keyword:
- Equation-based modelling
- Multi-rate simulation
- Structural analysis
language:
- iso: eng
oa: '1'
page: 943–947
publication: Proceedings of the 16th International Modelica&FMI Conference
publication_identifier:
eisbn:
- 978-91-8118-266-8
publication_status: published
publisher: Linköping University Electronic Press
quality_controlled: '1'
series_title: Linköping Electronic Conference Proceedings
status: public
title: Selective Evaluation of RHS during Multi-Rate Simulation
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type: conference_abstract
urn: urn:nbn:de:hbz:bi10-63570
user_id: '263827'
volume: 218
year: '2025'
...
---
_id: '6359'
author:
- first_name: Linus
full_name: Langenkamp, Linus
id: '240430'
last_name: Langenkamp
orcid: 0009-0009-7517-4842
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-7517-4842/work/198540284
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/198540286
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/198540287
citation:
alphadin: 'Langenkamp, Linus ; Hannebohm, Philip ; Bachmann,
Bernhard: Efficient Training of Physics-enhanced Neural ODEs via Direct
Collocation and Nonlinear Programming. In: Zimmer,
D. ; Müller, U. C. (Hrsg.):
Proceedings of the 16th International Modelica&FMI Conference. Bd.
218 : Linköping University Electronic Press, 2025, S. 445–457'
ama: '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'
apa: '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'
bibtex: '@inproceedings{Langenkamp_Hannebohm_Bachmann_2025, title={Efficient Training
of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming},
volume={218}, DOI={10.3384/ecp218445},
booktitle={Proceedings of the 16th International Modelica&FMI Conference},
publisher={Linköping University Electronic Press}, author={Langenkamp, Linus and
Hannebohm, Philip and Bachmann, Bernhard}, editor={Zimmer, Dirk and Müller, Ulf
ChristianEditors}, year={2025}, pages={445–457} }'
chicago: 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.
ieee: L. Langenkamp, P. Hannebohm, and B. Bachmann, “Efficient Training of Physics-enhanced
Neural ODEs via Direct Collocation and Nonlinear Programming,” in Proceedings
of the 16th International Modelica&FMI Conference, Luzern, 2025, vol.
218, pp. 445–457.
mla: Langenkamp, Linus, et al. “Efficient Training of Physics-Enhanced Neural ODEs
via Direct Collocation and Nonlinear Programming.” Proceedings of the 16th
International Modelica&FMI Conference, edited by Dirk Zimmer and Ulf Christian
Müller, vol. 218, Linköping University Electronic Press, 2025, pp. 445–57, doi:10.3384/ecp218445.
short: 'L. Langenkamp, P. Hannebohm, B. Bachmann, in: D. Zimmer, U.C. Müller (Eds.),
Proceedings of the 16th International Modelica&FMI Conference, Linköping University
Electronic Press, 2025, pp. 445–457.'
conference:
end_date: 2025-09-10
location: Luzern
name: The 16th International Modelica&FMI Conference
start_date: 2025-09-08
date_created: 2025-12-02T13:49:45Z
date_updated: 2026-03-17T15:29:29Z
department:
- _id: '103'
doi: 10.3384/ecp218445
editor:
- first_name: Dirk
full_name: Zimmer, Dirk
last_name: Zimmer
- first_name: Ulf Christian
full_name: Müller, Ulf Christian
last_name: Müller
file:
- access_level: open_access
content_type: application/pdf
creator: llangenkamp
date_created: 2025-12-02T13:48:28Z
date_updated: 2025-12-02T13:48:28Z
file_id: '6360'
file_name: paper.pdf
file_size: 11486460
relation: main_file
success: 1
file_date_updated: 2025-12-02T13:48:28Z
has_accepted_license: '1'
intvolume: ' 218'
keyword:
- Physics-enhanced Neural ODEs
- Dynamic Optimization
- Nonlinear Programming
- Modelica
- NeuralODEs
- Universal Differential Equations
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 445 - 457
publication: Proceedings of the 16th International Modelica&FMI Conference
publication_status: published
publisher: Linköping University Electronic Press
status: public
title: Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and
Nonlinear Programming
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
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type: conference
urn: urn:nbn:de:hbz:bi10-63592
user_id: '240430'
volume: 218
year: '2025'
...
---
_id: '4618'
author:
- first_name: Andreas
full_name: Heuermann, Andreas
last_name: Heuermann
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/161055467
- first_name: Matthias
full_name: Schäfer, Matthias
last_name: Schäfer
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/161055468
citation:
alphadin: 'Heuermann, Andreas ; Hannebohm, Philip ; Schäfer,
Matthias ; Bachmann, Bernhard:
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. (Hrsg.): Proceedings of the 15th International Modelica Conference
2023, Aachen, October 9-11, Linköping Electronic Conference Proceedings.
Bd. 204 : Linköping University Electronic Press, 2023, S. 275–284'
ama: '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'
apa: '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'
bibtex: '@inproceedings{Heuermann_Hannebohm_Schäfer_Bachmann_2023, series={Linköping
Electronic Conference Proceedings}, title={Accelerating the simulation of equation-based
models by replacing non-linear algebraic loops with error-controlled machine learning
surrogates}, volume={204}, DOI={10.3384/ecp204275},
booktitle={Proceedings of the 15th International Modelica Conference 2023, Aachen,
October 9-11}, publisher={Linköping University Electronic Press}, author={Heuermann,
Andreas and Hannebohm, Philip and Schäfer, Matthias and Bachmann, Bernhard}, editor={Müller,
Dirk and Monti, Antonello and Benigni, Andrea Editors}, year={2023}, pages={275–284},
collection={Linköping Electronic Conference Proceedings} }'
chicago: 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.
ieee: A. Heuermann, P. Hannebohm, M. Schäfer, and B. 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, Aachen, 2023, vol. 204, pp.
275–284.
mla: Heuermann, Andreas, et al. “Accelerating the Simulation of Equation-Based Models
by Replacing Non-Linear Algebraic Loops with Error-Controlled Machine Learning
Surrogates.” Proceedings of the 15th International Modelica Conference 2023,
Aachen, October 9-11, edited by Dirk Müller et al., vol. 204, Linköping University
Electronic Press, 2023, pp. 275–84, doi:10.3384/ecp204275.
short: 'A. Heuermann, P. Hannebohm, M. Schäfer, B. Bachmann, in: D. Müller, A. Monti,
A. Benigni (Eds.), Proceedings of the 15th International Modelica Conference 2023,
Aachen, October 9-11, Linköping University Electronic Press, 2023, pp. 275–284.'
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citation:
alphadin: 'Heuermann, Andreas ; Hannebohm, Philip ; Schäfer,
Matthias ; Bachmann, Bernhard:
Fehlerkontrollierte ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme
in Modelica. In: : Unpublished, 2023'
ama: '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'
apa: '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'
bibtex: '@inproceedings{Heuermann_Hannebohm_Schäfer_Bachmann_2023, title={Fehlerkontrollierte
ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in
Modelica}, DOI={10.13140/RG.2.2.11838.70729},
publisher={Unpublished}, author={Heuermann, Andreas and Hannebohm, Philip and
Schäfer, Matthias and Bachmann, Bernhard}, year={2023} }'
chicago: 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.
ieee: A. Heuermann, P. Hannebohm, M. Schäfer, and B. Bachmann, “Fehlerkontrollierte
ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in
Modelica,” presented at the KI@HSBI 2023 Kongress, Bielefeld, 2023.
mla: Heuermann, Andreas, et al. Fehlerkontrollierte ML-Surrogate Zur Beschleunigten
Simulation Nichtlinearer Gleichungssysteme in Modelica. Unpublished, 2023,
doi:10.13140/RG.2.2.11838.70729.
short: 'A. Heuermann, P. Hannebohm, M. Schäfer, B. Bachmann, in: Unpublished, 2023.'
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date_updated: 2026-03-17T15:29:03Z
doi: 10.13140/RG.2.2.11838.70729
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