Periodic Neural Mapping for Unsteady Rotor-Blade Pressure and Aeroelastic Load Prediction
CFD
Proposes p-FNM, a neural-operator framework using periodic Fourier mapping to predict unsteady pressure distributions and aeroelastic loads on turbine rotor blades, reducing high-fidelity CFD computational costs.
See LICENSE file Neural OperatorAeroelasticityTurbomachinery