High-fidelity quantification of manufacturing-induced uncertainty in supersonic flow fields via deep autoencoder and spatially-adaptive polynomial chaos
Fields of Study & Subjects
Model Reduction and Neural Networks
Probabilistic and Robust Engineering Design
Turbomachinery Performance and Optimization
Publication details
- Journal / source
- Aerospace Science and Technology
- Publisher
- Elsevier BV
- Volume
- 174
- Pages
- 111814–111814
- Publication date
- 30 January 2026
- Language
- EN