NDLI: Study of spin injection into few-layer graphene

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Study of spin injection into few-layer graphene

Content Provider	Semantic Scholar
Author	Duong, Dinh Hiep
Copyright Year	2015
Abstract	Recently, spin injection from ferromagnetic electrodes to a high quality graphene layer is shown to be a promising approach for spintronics [1]. However, the spin injection efficiency, the quality of the FM/graphene interface etc. remain as critical issues due to the fact that an observed spin life time is still short compared to theoretical predictions (~2 orders shorter) [2]. In fact, the spin injection from ferromagnetic (FM) metal into graphene strongly depends on the spin relaxation rate because of the backflow of spin currents into ferromagnetic electrodes. In order to increase the spin injection, the spin backflow into electrodes needs to be controlled by alternating the tunnel resistance very precisely. Therefore, this study focuses the spin injection into few layer graphene by controlling the tunnel resistance. Following the most standard configurations of spintronic devices used to evaluate the spin injection from FM/Graphene and spin transport in the graphene channel have been proposed so far in literature, we employed the so-called nonlocal and three-terminal measurement geometries to fabricate devices (the inset to Fig. 1 (b)). We report the tunneling spin injection from Co into tri-layer graphene via the TiO2 seeded Al2O3 barrier. A high-quality tunnel barrier Al2O3 was grown by atomic layer deposition (ALD). The TiO2 seed significantly improves the uniformity of ALD Al2O3. A nonlocal magnetoresistance (∆RNL) of nearly 50 mΩ was observed at 1.5K (Fig. 1a). A three-terminal magnetoresistance (R3T) was also observed at 1.5K (Fig. 1b). A comparison of spin injection into tri-layer graphene with various tunnel barrier resistances will also be discussed. .
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://confit.atlas.jp/guide/event-img/jsap2015s/11p-P1-40/public/pdf?type=in
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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