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Author

Pier Marzocca

2 papers indexed here

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Aug 2026

Machine-Learning-Based Real-Time Trajectory Prediction of Store Release from Cavity

The release of stores from internal carriage configurations in modern aircraft requires precise modeling due to the highly unsteady flow dynamics involved. Traditional methods for predicting store trajectories are often computationally intensive, making real-time predictions challenging. In this study, we develop a dat...

Arpan Das, Errol Hale, Michael Candon et al. · 0 citations
Preprint Jul 2026

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...

Michael Candon, Pier Marzocca, Earl H. Dowell · 1 citation · ⚡1

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