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

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

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

A rigorous performance analysis via simulation is provided.