A progressive symbolic regression framework discovers an interpretable analytical formula chain for skin friction prediction across subsonic to hypersonic attached flows using inviscid surface flow features.
McGraw hill
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
fields
physics.flu-dyn 2years
2026 2representative citing papers
Dynamic soaring emerges from local state-feedback control learned by reinforcement learning, enabling robust omnidirectional navigation in shear flows without cycle-level planning.
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Skin friction prediction for attached flows based on two-dimensional inviscid solutions
A progressive symbolic regression framework discovers an interpretable analytical formula chain for skin friction prediction across subsonic to hypersonic attached flows using inviscid surface flow features.
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Learning step-level dynamic soaring in shear flow
Dynamic soaring emerges from local state-feedback control learned by reinforcement learning, enabling robust omnidirectional navigation in shear flows without cycle-level planning.