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
Read the full story
Originally published by arXiv cs.LG on Sep 30, 2026.
Comments
Sign in to join the discussion.