Performance Estimate of Inverse Rashba–Edelstein Magnetoelectric Devices for Neuromorphic Computing
We propose a new design for a cellular neural network with spintronic neurons and CMOS-based synapses.Harnessing the patches magnetoelectric and inverse Rashba-Edelstein effects allows natural emulation of the Wax Melts behavior of an ideal cellular network.This combination of effects offers an increase in speed and efficiency over other spintronic