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Linear and symmetric conductance response of magnetic domain wall type spin-memristor for analog neuromorphic computing

Tatsuo Shibata, Tetsuhito Shinohara, T. Ashida, Minoru Ohta, Kuniyasu Ito, Shogo Yamada, Yukio Terasaki, Tomoyuki Sasaki

2020Applied Physics Express38 citationsDOI

Abstract

We developed a three-terminal spintronic memristor named spin-memristor for the artificial synapse of neuromorphic devices. Current-induced domain wall (DW) motion type magnetoresistance was used to generate variable analog conductance changes. Magnetic tunnel junction with a perpendicularly magnetized DW layer was fabricated on a silicon substrate. Due to the forward and backward DW motions, a linear and symmetric conductance response was achieved. The impact of memristive behavior on neural networks was evaluated using numerical simulation of hand-written digit recognition. This spin-memristor is identified as one of the promising candidates for artificial synapses in analog neuromorphic devices.

Topics & Concepts

Neuromorphic engineeringMemristorConductanceTunnel magnetoresistanceDomain wall (magnetism)SpintronicsMagnetoresistanceMaterials scienceCondensed matter physicsSpin (aerodynamics)MemistorArtificial neural networkPhysicsComputer scienceElectronic engineeringOptoelectronicsArtificial intelligenceResistive random-access memoryEngineeringQuantum mechanicsMagnetic fieldVoltageFerromagnetismThermodynamicsMagnetizationAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNeural Networks and Reservoir Computing
Linear and symmetric conductance response of magnetic domain wall type spin-memristor for analog neuromorphic computing | Litcius