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• W2894572679 abstract "In the context of neuromorphic computation, spintronic memristors are investigated for their use as synaptic weights. In this paper, we propose and experimentally demonstrate a resistive synaptic device based on ten magnetic tunnel junctions (MTJs) connected in a serial configuration. Our device exhibits multiple resistance levels that support its use as a synaptic element. It allows for two operating knobs: external magnetic field and voltage pulses (Spin-Transfer Torque). Moreover, it can be operated in different ways. When varying continuously the amplitude of the voltage pulse and/or the magnetic field, eleven resistance states can be reached. In contrast, if the initial state of the chain is reset between every step, a very large number of levels are reached. Ideally, a total of 2N resistance levels could be accessible. This coincides well with the desired analog-like behavior in ideal memristors. Since this device consists of a scalable number of N MTJs, and MTJ technology is continuously optimized and improved, the proposed memristor shows promise as a scalable synapse solution for neuromorphic hardware implementations." @default.
• W2894572679 created "2018-10-12" @default.
• W2894572679 creator A5000388177 @default.
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• W2894572679 date "2018-09-27" @default.
• W2894572679 modified "2023-10-16" @default.
• W2894572679 title "Chain of magnetic tunnel junctions as a spintronic memristor" @default.
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• W2894572679 doi "https://doi.org/10.1063/1.5042431" @default.
• W2894572679 hasPublicationYear "2018" @default.
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