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Generative adversarial networks to infer velocity components in rotating turbulent flows
ABSTRACT: Inference problems for two-dimensional snapshots of rotating turbulent flows are studied. We perform a systematic quantitative benchmark of point-wise and statistical reconstruction capabilities of the linear Extended Proper Orthogonal Decomposition (EPOD) method, a nonlinear Convolutional...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160208/ https://www.ncbi.nlm.nih.gov/pubmed/37140827 http://dx.doi.org/10.1140/epje/s10189-023-00286-7 |