Machine learning mesh-adaptation for laminar and turbulent flows: applications to high-order discontinuous Galerkin solvers

Bibliographic Details
Authors:	Tlales, Kenza, Otmani, Kheir-Eddine, Ntoukas, Gerasimos\|\|\|0000-0002-4376-5172, Rubio Calzado, Gonzalo\|\|\|0000-0002-6231-4801, Rubio Cifuentes, Gregorio\|\|\|0000-0003-0966-6266, Ferrer Vaccarezza, Esteban\|\|\|0000-0003-1519-0444
Format:	article
Publication Date:	2024
Country:	España
Institution:	Universidad Politécnica de Madrid
Repository:	Archivo Digital UPM
OAI Identifier:	oai:oa.upm.es:86474
Online Access:	https://oa.upm.es/86474/
Access Level:	Open access
Keyword:	Circular-Cylinder Clustering Discontinuous Galerkin Dynamics Errors Large Eddy Simulation Large-Eddy Simulation Machine Learning Mesh Refinement Navier-Stokes Equations Navier–Stokes Equations Refinement Steady Strategies Truncation Unsupervised Learning Wake

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