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Multifidelity computing for coupling full and reduced order models

Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering applications include multiple spatiotemporal scales and comprise a multifidelity problem sharing an interface between var...

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Detalles Bibliográficos
Autores principales: Ahmed, Shady E., San, Omer, Kara, Kursat, Younis, Rami, Rasheed, Adil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877632/
https://www.ncbi.nlm.nih.gov/pubmed/33571229
http://dx.doi.org/10.1371/journal.pone.0246092