Publication date: 22nd July 2026
Self-oscillatory devices based on negative differential resistance (NDR) are promising building blocks for neuromorphic electronics and physical computing. However, identifying the conditions required for the onset of oscillations usually relies on nonlinear dynamical models, which are often difficult to apply experimentally.
In this work, we demonstrate that impedance spectroscopy provides a simple experimental method to determine the stability of self-oscillatory devices.[1] A commercial thyristor is used as a model S-type NDR system. Impedance spectra measured under stationary conditions are fitted with an equivalent circuit, allowing the extraction of a stability time constant directly related to the transition between stable and oscillatory operation.
By varying the external capacitance, an experimental stability map is obtained, predicting the current and capacitance conditions under which self-sustained oscillations appear. The predicted bifurcation boundary is confirmed by time-domain measurements.[2,3]
These results show that impedance spectroscopy can be used as a practical tool to identify and control oscillatory behavior in nonlinear electronic devices, providing a general methodology for the characterization and design of neuromorphic and oscillator-based computing systems.
This work was funded by the European Research Council (ERC) via Horizon Europe Advanced Grant, grant agreement nº 101097688 (“PeroSpiker”).
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