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Learning dominant physical processes with data-driven balance models

Throughout the history of science, physics-based modeling has relied on judiciously approximating observed dynamics as a balance between a few dominant processes. However, this traditional approach is mathematically cumbersome and only applies in asymptotic regimes where there is a strict separation...

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Detalles Bibliográficos
Autores principales: Callaham, Jared L., Koch, James V., Brunton, Bingni W., Kutz, J. Nathan, Brunton, Steven L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884409/
https://www.ncbi.nlm.nih.gov/pubmed/33589607
http://dx.doi.org/10.1038/s41467-021-21331-z

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