A data-driven framework extracts oscillators from multi-frequency turbulent flow data via autoencoders and models their dynamics with neural networks to enable long-term forecasting, demonstrated on supersonic cavity flow.
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2026 1verdicts
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Data-driven oscillator model for multi-frequency turbulent flows
A data-driven framework extracts oscillators from multi-frequency turbulent flow data via autoencoders and models their dynamics with neural networks to enable long-term forecasting, demonstrated on supersonic cavity flow.