A Novel Hybrid Deep Learning Method for Predicting the Flow Fields of Biomimetic Flapping Wings

A Novel Hybrid Deep Learning Method for Predicting the Flow Fields of Biomimetic Flapping Wings

The physics governing the fluid dynamics of bio-inspired flapping wings is effectively characterized by partial differential equations (PDEs). Nevertheless, the process of discretizing these equations at spatiotemporal scales is notably time consuming and resource intensive. Traditional PDE-based co...

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Bibliographic Details
Main Authors: Fujia Hu, Weebeng Tay, Yilun Zhou, Boocheong Khoo
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Biomimetics
Subjects:
bio-inspired flapping wings
physics-informed neural network
data-driven
deep learning
computational fluid dynamics
Online Access:https://www.mdpi.com/2313-7673/9/2/72

Internet

https://www.mdpi.com/2313-7673/9/2/72

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