A multi-tone excitation technique with sideband analysis quantifies ten pairwise nonlinear coupling coefficients across five modes in tensioned nanostrings, producing experimental reduced-order models that match finite-element simulations.
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Parametrically driven oscillators achieve optimal reservoir computing performance for chaotic time-series prediction in the 2:1 parametric resonance regime, with performance degrading in chaotic frequency-comb states.
citing papers explorer
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Experimental Quantification of Nonlinear Mode Coupling in Nanomechanical Resonators using Multi-tone Excitation
A multi-tone excitation technique with sideband analysis quantifies ten pairwise nonlinear coupling coefficients across five modes in tensioned nanostrings, producing experimental reduced-order models that match finite-element simulations.
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Neuromorphic Computing Based on Parametrically-Driven Oscillators and Frequency Combs
Parametrically driven oscillators achieve optimal reservoir computing performance for chaotic time-series prediction in the 2:1 parametric resonance regime, with performance degrading in chaotic frequency-comb states.