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Physically sound, self-learning digital twins for sloshing fluids

In this paper, a novel self-learning digital twin strategy is developed for fluid sloshing phenomena. This class of problems is of utmost importance for robotic manipulation of fluids, for instance, or, in general, in simulation-assisted decision making. The proposed method infers the (linear or non...

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Detalles Bibliográficos
Autores principales: Moya, Beatriz, Alfaro, Iciar, Gonzalez, David, Chinesta, Francisco, Cueto, Elías
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297333/
https://www.ncbi.nlm.nih.gov/pubmed/32544175
http://dx.doi.org/10.1371/journal.pone.0234569