Abstract: Large flapping-wing aerial vehicles (FWAVs) face dual challenges in aerodynamic and structural design, with long-standing technical bottlenecks, particularly in roll maneuvers. In this study ...

Abstract: Physics-informed neural networks (PINNs) incorporate physical constraints into their loss functions, allowing them to efficiently solve Partial Differential Equations (PDEs). In this work, ...