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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Detalles Bibliográficos
Autores principales: Pulimeno, Alessandro, Coates-Farley, Graham, Veresko, Martin, Jiang, Lin, Cheng, Ming-Cheng, Liu, Yu, Hou, Daqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326499/
https://www.ncbi.nlm.nih.gov/pubmed/37424764
http://dx.doi.org/10.1016/j.mex.2023.102204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326499/
https://www.ncbi.nlm.nih.gov/pubmed/37424764
http://dx.doi.org/10.1016/j.mex.2023.102204

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