Nonlinear chiral magnonic resonators: Toward magnonic neurons

We explore chiral magnonic resonators as building blocks of artificial neural networks. Via micromagnetic simulations and analytical modeling, we demonstrate that the spin-wave modes confined in exhibit a strongly nonlinear response owing to energy concentration when resonantly excited by incoming spin waves. This effect may be harnessed implement an neuron network. Therefore, propagating can serve neurons interneural connections, respectively. For modest excitation levels, described terms shift resonant frequency (“detuning”), which results amplitude-dependent transmission monochromatic waves, recreate “sigmoid-like” activation function. At even stronger nonlinearity leads bistability hysteresis, akin those occurring oscillators strength exceeds threshold set decay rate mode. In resonators, latter includes both Gilbert damping radiative due coupling with medium. The our are well phenomenological model detuning mode is quadratic its amplitude, while propagation medium linear.