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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...
Autores principales: | Pulimeno, Alessandro, Coates-Farley, Graham, Veresko, Martin, Jiang, Lin, Cheng, Ming-Cheng, Liu, Yu, Hou, Daqing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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