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We propose a model that forecasts the shift from smooth to turbulent airflow in high-speed scenarios, particularly due to crossflow instability. Its effectiveness is validated against experimental and theoretical findings in three distinct cases.
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This page is a summary of: Neural Network-Based Hypersonic Crossflow Transition Model, Journal of Spacecraft and Rockets, March 2025, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.a35975.
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