Performance Estimate of Inverse Rashba–Edelstein Magnetoelectric Devices for Neuromorphic Computing

Performance Estimate of Inverse Rashba–Edelstein Magnetoelectric Devices for Neuromorphic Computing

Blog Article

We propose a new design for a cellular neural network with spintronic neurons and CMOS-based synapses.Harnessing the magnetoelectric and inverse Rashba-Edelstein effects allows natural emulation Blade fuses of the behavior of an ideal cellular network.This combination of effects offers an increase in speed and efficiency over other spintronic neural networks.

A SOHO rigorous performance analysis via simulation is provided.