Mohammad Rashed

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

Accurate machine-learning models for aerodynamic prediction are essential for accelerating shape optimization yet remain challenging to develop for complex three-dimensional configurations due to the high cost of generating training data. This work introduces a methodology for efficiently constructing accurate surrogat...