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Physics-informed neural ODE (PINODE): embedding physics into models using collocation points
Building reduced-order models (ROMs) is essential for efficient forecasting and control of complex dynamical systems. Recently, autoencoder-based methods for building such models have gained significant traction, but their demand for data limits their use when the data is scarce and expensive. We pr...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287651/ https://www.ncbi.nlm.nih.gov/pubmed/37349375 http://dx.doi.org/10.1038/s41598-023-36799-6 |