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A machine learning study evaluating four regression models trained to predict Formula 1 front wing aerodynamic efficiency and aero balance using raw force and moment readings from Computational Fluid Dynamics (CFD) simulations.
Design and development of a fixed-wing hybrid VTOL UAV, covering conceptual design, aerodynamic analysis, propulsion, structural design, flight dynamics, control, and validation.
Neural mesh deformation that lowers a car's drag coefficient without re-running CFD. PointNet surrogate predicts Cd; a deformation network optimises geometry by gradient descent.