Hybrid Neural Network Reduced Order Modelling for Turbulent Flows with Geometric Parameters

Hybrid Neural Network Reduced Order Modelling for Turbulent Flows with Geometric Parameters

Geometrically parametrized partial differential equations are currently widely used in many different fields, such as shape optimization processes or patient-specific surgery studies. The focus of this work is some advances on this topic, capable of increasing the accuracy with respect to previous a...

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Bibliographic Details
Main Authors: Matteo Zancanaro, Markus Mrosek, Giovanni Stabile, Carsten Othmer, Gianluigi Rozza
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Fluids
Subjects:
reduced order models
geometrical parametrization
projection-based methods
data-driven approaches
turbulence closures
mesh motion
Online Access:https://www.mdpi.com/2311-5521/6/8/296

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https://www.mdpi.com/2311-5521/6/8/296

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