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V. A. Peleshenko

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2026

A hybrid physical-informational platform for aerohydrodynamic design of blade systems with multicriterial optimization based on quantum and neural network methods

A hybrid physics-informed computing platform for aero-hydrodynamic analysis and multi-criteria optimization of blade system profiles is presented, combining the Neural Foil neural network surrogate with panel methods and gradient-based optimization. A generalized Magnus effect model for rotating profiles is developed a...

V. A. Peleshenko · 0 citations

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