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| Originalsprache | undefiniert/unbekannt |
|---|---|
| Titel des Sammelwerks | Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics |
| Publikationsstatus | Veröffentlicht - 2024 |
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Domain-Decoupled Physics-informed Neural Networks with Closed-Form Gradients for Fast Model Learning of Dynamical Systems. / Krauss, Henrik; Habich, Tim-Lukas; Bartholdt, Max et al.
Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics. 2024.
Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics. 2024.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
Krauss, H, Habich, T-L, Bartholdt, M, Seel, T & Schappler, M 2024, Domain-Decoupled Physics-informed Neural Networks with Closed-Form Gradients for Fast Model Learning of Dynamical Systems. in Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics. https://doi.org/10.5220/0012935200003822
Krauss, H., Habich, T.-L., Bartholdt, M., Seel, T., & Schappler, M. (2024). Domain-Decoupled Physics-informed Neural Networks with Closed-Form Gradients for Fast Model Learning of Dynamical Systems. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics https://doi.org/10.5220/0012935200003822
Krauss H, Habich TL, Bartholdt M, Seel T, Schappler M. Domain-Decoupled Physics-informed Neural Networks with Closed-Form Gradients for Fast Model Learning of Dynamical Systems. in Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics. 2024 doi: 10.5220/0012935200003822
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title = "Domain-Decoupled Physics-informed Neural Networks with Closed-Form Gradients for Fast Model Learning of Dynamical Systems",
author = "Henrik Krauss and Tim-Lukas Habich and Max Bartholdt and Thomas Seel and Moritz Schappler",
year = "2024",
doi = "10.5220/0012935200003822",
language = "Undefined/Unknown",
booktitle = "Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics",
}
Download
TY - GEN
T1 - Domain-Decoupled Physics-informed Neural Networks with Closed-Form Gradients for Fast Model Learning of Dynamical Systems
AU - Krauss, Henrik
AU - Habich, Tim-Lukas
AU - Bartholdt, Max
AU - Seel, Thomas
AU - Schappler, Moritz
PY - 2024
Y1 - 2024
UR - http://dx.doi.org/10.5220/0012935200003822
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DO - 10.5220/0012935200003822
M3 - Aufsatz in Konferenzband
BT - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics
ER -