AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper develops a phase-reduced description of transonic buffet, treating buffet as a stable autonomous fluid limit cycle that is weakly perturbed by harmonic structural motion. When combined with aerodynamic work, the phase reduction model yields closed-form expressions for the equivalent aerodynamic damping and s...
A data-driven reduced-order model (ROM) capable of accurately predicting the real-time trajectory of a store released from an internal cavity is developed and shows significant promise for efficiently predicting store trajectories, making it a viable solution for real-time analysis in defense and aerospace applications...
A physics-guided neural differential equation (DE) reduced order model (ROM) combining a nonlinear fluid oscillator, a finite-memory multi-input Volterra series, and a compact neural network correction is presented to provide substantial new insight into buffet-induced aeroelastic instabilities involving more than one...
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