Transonic aerodynamic predictions with sparse edge-augmented transformers and graph attention networks: A comparative study

Aerospace Science and Technology 2026

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Authors: Saad Hussain, Pei Yang, Muhammad Hammad Hassan, Ge Yuxue

DOI: 10.1016/j.ast.2026.111762

Cited by: 0

References: 17

Fields of Study & Subjects

Model Reduction and Neural Networks Computational Fluid Dynamics and Aerodynamics Aerospace and Aviation Technology

References 17