SIMR-NO: A Spectrally-Informed Multi-Resolution Neural Operator for Turbulent Flow Super-Resolution explores A novel neural operator framework that achieves physically consistent super-resolution of turbulent flow fields from severely under-resolved data, outperforming existing methods in accuracy and spectral fidelity.. Commercial viability score: 7/10 in Scientific Machine Learning.
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