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The spin-diode effect is studied both experimentally and with our originalsemi-analytical method. The latter is based on an improved version of theThiele equation approach (TEA) that we combine to micromagnetic simulation datato accurately model the non-linear dynamics of spin-torque vortex oscillator(STVO). This original method, called data-driven Thiele equation approach(DD-TEA), absorbs the difference between the analytical model and micromagneticsimulations to provide a both ultra-fast and quantitative model. The DD-TEAmodel predictions also agree very well with the experimental data. The reversalof the spin-diode effect with the chirality of the vortex, the impact of theinput current and the origin of a variation at half of the STVO frequency arepresented as well as the ability of the model to reproduce the experimentalbehavior. Finally, the spin-diode effect and its simulation using the DD-TEAmodel are discussed as a promising perspective in the framework of neuromorphiccomputing.

A semi-analytical model to simulate the spin-diode effect and accelerate its use in neuromorphic computing