Caglar Guerbuez

Toward a Foundation-Model Paradigm for Aerodynamic Prediction in Three-Dimensional Design

The proposed methodology for efficiently constructing accurate surrogate models for design purposes by first pretraining a large-scale model on diverse geometries and then fine-tuning it with a few more detailed task-specific samples achieves a 0.36% error on surface-flow prediction.