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| 001 | 995369 | ||
| 005 | 20251022102611.0 | ||
| 024 | 7 | _ | |2 DOI |a 10.48550/arXiv.2410.13645 |
| 024 | 7 | _ | |2 arXiv |a arXiv:2410.13645 |
| 024 | 7 | _ | |2 datacite_doi |a 10.18154/RWTH-2024-09844 |
| 037 | _ | _ | |a RWTH-2024-09844 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-82)IDM03439 |a Holthusen, Hagen |b 0 |e Corresponding author |u rwth |
| 245 | _ | _ | |a Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling |h online |
| 260 | _ | _ | |c 2024 |
| 300 | _ | _ | |a 46 Seiten |
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| 536 | _ | _ | |0 G:(GEPRIS)453596084 |a DFG project G:(GEPRIS)453596084 - TRR 339: Digitaler Zwilling Straße – Physikalisch-informatorische Abbildung des Systems „Straße der Zukunft“ (453596084) |c 453596084 |x 1 |
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| 536 | _ | _ | |0 G:(GEPRIS)441884911 |a DFG project G:(GEPRIS)441884911 - SPP 2311: Robuste Kopplung kontinuumsbiomechanischer in silico Modelle für aktive biologische Systeme als Vorstufe klinischer Applikationen - Co-Design von Modellierung, Numerik und Nutzbarkeit (441884911) |c 441884911 |x 4 |
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| 591 | _ | _ | |a Germany |
| 591 | _ | _ | |a USA |
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| 650 | _ | 7 | |2 Other |a Machine Learning (cs.LG) |
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| 700 | 1 | _ | |0 P:(DE-82)IDM01521 |a Brepols, Tim |b 1 |u rwth |
| 700 | 1 | _ | |0 P:(DE-82)IDM01888 |a Linka, Kevin |b 2 |u rwth |
| 700 | 1 | _ | |a Kuhl, Ellen |b 3 |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/995369/files/995369.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2024 |
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