A Data-Driven Space-Time-Parameter Reduced-Order Model with Manifold Learning for Coupled Problems: Application to Deformable Capsules Flowing in Microchannels

An innovative data-driven model-order reduction technique is proposed to model dilute micrometric or nanometric suspensions of microcapsules, i.e., microdrops protected in a thin hyperelastic membrane, which are used in Healthcare as innovative drug vehicles. We consider a microcapsule flowing in a...

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Detalles Bibliográficos
Autores principales: Boubehziz, Toufik, Quesada-Granja, Carlos, Dupont, Claire, Villon, Pierre, De Vuyst, Florian, Salsac, Anne-Virginie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468914/
https://www.ncbi.nlm.nih.gov/pubmed/34573820
http://dx.doi.org/10.3390/e23091193

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468914/
https://www.ncbi.nlm.nih.gov/pubmed/34573820
http://dx.doi.org/10.3390/e23091193

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