Neural Differential Equations for Oscillatory Flows in Aeroelasticity Applied to Transonic Buffet
Self-excited aerodynamic flows arise across a broad range of systems and can drive nonlinear fluid-structure interactions and aeroelastic instabilities that are challenging and computationally expensive to predict. This paper presents a physics-guided neural differential equation (DE) reduced order model (ROM) combinin...