Prediction of steady flows passing fixed cylinders using deep learning

Abstract Considerable attention has been given to deep-learning and machine-learning techniques in an effort to reduce the computational cost of computational fluid dynamics simulation. The present paper addresses the prediction of steady flows passing many fixed cylinders using a deep-learning mode...

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Bibliographic Details
Main Authors: Hiroto Ozaki, Takeshi Aoyagi
Format: Article
Language:English
Published: Nature Portfolio 2022-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-03651-8