An Image and State Information-Based PINN with Attention Mechanisms for the Rapid Prediction of Aircraft Aerodynamic Characteristics

An Image and State Information-Based PINN with Attention Mechanisms for the Rapid Prediction of Aircraft Aerodynamic Characteristics

Prediction of aircraft aerodynamic parameters is crucial for aircraft design, yet traditional computational fluid dynamics methods remain time-consuming and labor-intensive. This work presents a novel model, the image and state information-based attention-enhanced physics-informed neural network (IS...

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Bibliographic Details
Main Authors: Yiduo Kan, Xiangdong Liu, Haikuo Liu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Aerospace
Subjects:
aerodynamic parameter prediction
physics-informed neural network
attention mechanism
aircraft design
Online Access:https://www.mdpi.com/2226-4310/12/5/434
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