Fig. 1: Nanomagnet-based spin-wave scatterer.
From: Nanoscale neural network using non-linear spin-wave interference
a The schematics of the envisioned computing device. The input signal is applied on the coplanar waveguide (CPW) on the left and the magnetic state (up/down) of programming magnets on top of the YIG film define the weights. b Magnets exhibiting perpendicular magnetic anisotropy are placed on top of the YIG film and generate a bias-field landscape. The training algorithm finds the binary state of the programming magnets. c Spin-wave intensity pattern for a particular applied input, which results in a high intensity at o1. The size of the simulation area is 10 μm × 10 μm.
