Reduced Order Modeling Using Advection-Aware Autoencoders

Reduced Order Modeling Using Advection-Aware Autoencoders

Physical systems governed by advection-dominated partial differential equations (PDEs) are found in applications ranging from engineering design to weather forecasting. They are known to pose severe challenges to both projection-based and non-intrusive reduced order modeling, especially when linear...

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Bibliografiske detaljer
Main Authors:	Sourav Dutta, Peter Rivera-Casillas, Brent Styles, Matthew W. Farthing
Format:	Article
Sprog:	English
Udgivet:	MDPI AG 2022-04-01
Serier:	Mathematical and Computational Applications
Fag:	deep autoencoder advection-dominated flows physics informed machine learning LSTM parametric model order reduction non-intrusive reduced order modeling
Online adgang:	https://www.mdpi.com/2297-8747/27/3/34

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