Controlling Information Flow in Arrays of Spin-Torque Oscillators

Arrays of spin-torque oscillators (STOs) can be used in artificial neural networks. The STOs in such arrays can be synchronized via magnetostatic interactions. In this work, we show that variations in the STO diameter can be used to control the flow of information. Unidirectional information flows can be enabled by a consistent change in diameter along a row of STOs. A switch to direct the information flow can also be constructed using STOs with different diameters.