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Articles Citing

Extreme aerodynamics: A data-driven perspective

Kunihiko Taira*

  • *Contact author: ktaira@seas.ucla.edu

Convolutional causal learning for aerodynamic flows

Ryo Koshikawa, Ryo Araki, Qiong Liu, and Kai Fukami

J. Fluid Mech. 1037 A6 (2026)

Extreme vortex gust encounters by a square wing

Hiroto Odaka, Luke Smith, and Kunihiko Taira

J. Fluid Mech. 1037 A67 (2026)

Vortical similarities across laminar and turbulent extreme gust encounters

Hiroto Odaka, Barbara Lopez-Doriga, and Kunihiko Taira

J. Fluid Mech. 1031 R3 (2026)

Data-Driven Time-Dependent Bases for Turbulent Airfoil Wake–Extreme Gust Interactions

Shaghayegh Zamani Ashtiani and Kai Fukami

AIAA Journal 1 (2026)

A three-dimensional wind matrix to generate horizontal unsteady non-uniform incoming flow

Xiuzhen Wang, Xiaolong Tang, Hao Li, and Jun Yang

Aerospace Science and Technology 179 113327 (2026)

A physics-augmented neuro-symbolic framework for interpretable aerodynamic optimization and knowledge extraction

Fan Cao, Chenye Cao, Xin Zhao, Xinlei He, and Xiaozhi Feng

Aerospace Science and Technology 176 112658 (2026)

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Barbara Lopez-Doriga and Kunihiko Taira

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