Model of a Magnetic Waveguide for a Neural Network

The present work focuses on a novel mechanism for controlling the spin-wave (magnonic) signals in the ferromagnetic films that is promising to be a basic element for the realization of artificial synapses in hardware-based artificial neural networks. The general idea of this control is based on the effect of vanadium dioxide films exhibiting a metal–insulator transition on the propagation of magnon wave packets. A model of an artificial synapse has been built. In particular, various levels of microwave attenuation of spin waves transmitted through the investigated structure has been observed due to a variation of the conductivity of the vanadium dioxide film within a narrow temperature range. This feature makes it possible to control the strength of the connections between the individual neurons by dynamic controllability of an amplitude of the transmitted magnon signal.