Ferrimagnetic Synapse Devices for Fast and Energy-Efficient On-Chip Learning on Crossbar-Array-Based Neural Networks (A Device-Circuit-System Costudy)

We propose a ferrimagnetic domain-wall synapse device as an alternative to its ferromagnetic counterpart for faster and more energy-efficient on-chip learning on a crossbar-array-based analog-hardware neural network. We first use micromagnetics to model domain-wall motion in a Co-Gd-bilayer-based ferrimagnetic device. We show that at the angular-momentum-compensation temperature, the ferrimagnetic...