Physics-driven proper orthogonal decomposition: A simulation methodology for partial differential equations

A simulation methodology derived from a learning algorithm based on Proper Orthogonal Decomposition (POD) is presented to solve partial differential equations (PDEs) for physical problems of interest. Using the developed methodology, a physical problem of interest is projected onto a functional spac...

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Bibliographic Details
Main Authors: Alessandro Pulimeno, Graham Coates-Farley, Martin Veresko, Lin Jiang, Ming-Cheng Cheng, Yu Liu, Daqing Hou
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:MethodsX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016123002030