Superposition-based deep neural operator improves endwall film cooling generalization; arXiv:2609.31633v1 reports a physics-enhanced neural operator framework for variable film hole layouts
Read the original at arxiv.org→arXiv:2609.31633v1 Announce Type: new Abstract: 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...
Original headline: "Enhancing generalization in endwall film cooling prediction: Incorporating the superposition principle into transformer-based neural operators"
Coverage timeline
- Sep 29, 04:00 UTC arXiv cs.LG lead source Enhancing generalization in endwall film cooling prediction: Incorporating the superposition principle into transformer-based neural operators