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Enhancing generalization in endwall film cooling prediction: Incorporating the superposition principle into transformer-based neural operators

In this study, a physics-enhanced neural operator framework is proposed to enhance the generalization prediction ability of the cooling layout of a turbine endwall with variable number of film holes.

By Qineng Wang, Liming Song, Tianyuan Liu, Zhendong GuoarXiv cs.LG

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Originally published by arXiv cs.LG on Sep 30, 2026.

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