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Learning Physically Interpretable Atmospheric Models from Data with WSINDy

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Minor, Seth, Messenger, Daniel A., Dukic, Vanja, Bortz, David M.
Formato:	Preprint
Publicado:	2025
Materias:	Geophysics Machine Learning Computational Physics 35D30, 86-08, 86-10
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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