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Gaussian Process surrogate modelling, Polynomial Chaos Expansion, Sobol sensitivity analysis, active learning, and FORM reliability analysis for a nonlinear Duffing oscillator — a complete uncertainty quantification pipeline in Python.
WNN is a wave-inspired overlay architecture using Duffing oscillator synchronization, phase-coherence handshakes, and deterministic stability scoring for adaptive peer trust and routing.