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

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https://www.mdpi.com/2297-8747/27/3/34

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