Discovering interpretable physical models using symbolic regression and discrete exterior calculus
Computational modeling is a key resource to gather insight into physical systems in modern scientific research and engineering. While access to large amount of data has fueled the use of machine learning to recover physical models from experiments and increase the accuracy of physical simulations, p...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
IOP Publishing
2024-01-01
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| Schriftenreihe: | Machine Learning: Science and Technology |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1088/2632-2153/ad1af2 |
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