Kiana Abtahi
Study and Design of a Skyrmion based Leaky Integrate-and-Fire Neuron.
Rel. Fabrizio Riente, Mariagrazia Graziano. Politecnico di Torino, Master of science program in Electronic Engineering, 2025
Abstract
Among all the neurons proposed in the literature to imitate brain’s functioning in terms of performing complex computational operations efficiently, spintronic neurons, leveraging both the magnetic and electrical properties of electrons are one of the most favored types because they can bypass the Moore’s law limitations for scaling and energy efficiency present in CMOS technology. The focus of this thesis is to study and design a Leaky Integrate-and-Fire neuron based on the motion of a skyrmion along the magnetic nano-track consisting of W/CoFeB/Mgo/Ta stack. A previous study, examined the LIF with the domain wall motion on a Ta/CoFeB/Mgo track. The inputs of the neuron which are pulses applied to the heavy metal layer, generate Spin Orbit Torque (SOT) induced current on the top ferromagnetic layer to realize the motion of skyrmion over the track.
The effect of Voltage Controlled Magnetic Anisotropy (VCMA) creates a localized and configurable energy barrier for the skyrmion, inhibiting its motion only if the applied current exceeds a defined threshold
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