A gate-variable spin current demultiplexer based on graphene
Li Su, Xiaoyang Lin, Youguang Zhang, Arnaud Bournel, Yue Zhang,, Jacques-Olivier Klein, Weisheng Zhao, Albert Fert

TL;DR
This paper introduces a graphene-based gate-variable spin current demultiplexer (GSDM) that enables electrical control of spin current distribution, facilitating reconfigurable spin logic circuits for advanced spintronics applications.
Contribution
It presents the design and realization of a GSDM using graphene, demonstrating electrical gating of spin transport properties for the first time in this context.
Findings
GSDM effectively controls spin current distribution in graphene.
D'yakonov-Perel relaxation mechanism enhances gate-tuning performance.
Potential applications include on-chip spin modulators and reconfigurable logic circuits.
Abstract
Spintronics, which utilizes spin as information carrier, is a promising solution for nonvolatile memory and low-power computing in the post-Moore era. An important challenge is to realize long distance spin transport, together with efficient manipulation of spin current for novel logic-processing applications. Here, we describe a gate-variable spin current demultiplexer (GSDM) based on graphene, serving as a fundamental building block of reconfigurable spin current logic circuits. The concept relies on electrical gating of carrier density dependent conductivity and spin diffusion length in graphene. As a demo, GSDM is realized for both single-layer and bilayer graphene. The distribution and propagation of spin current in the two branches of GSDM depend on spin relaxation characteristics of graphene. Compared with Elliot-Yafet spin relaxation mechanism, D'yakonov-Perel mechanism results…
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Taxonomy
TopicsGraphene research and applications · Quantum and electron transport phenomena · Advanced Memory and Neural Computing
