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