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...

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Detalles Bibliográficos
Autores principales: Sholokhov, Aleksei, Liu, Yuying, Mansour, Hassan, Nabi, Saleh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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