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A single penalisation parameter unifies energy and entropy stability in immersed-boundary methods for compressible flows, revealing a critical range for robust simulations.
KANs show promise in aerodynamic prediction but struggle with stability and hyperparameter sensitivity compared to MLPs and GNNs.