Unverified50% confidenceOpinionExact time
Fluid engineering problems involve nonlinearity, multiscale interactions and inverse design, and their current computational cost is extremely high, requiring the combination of numerical methods, physical modeling and machine learning to develop surrogate models for fast prediction.
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10/30/2026
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