Spin Injection into a Graphene Thin Film at Room Temperature

By Megumi Ohishi, M. Shiraishi, R. Nouchi, T. Nozaki, T. Shinjo, Yoshishige Suzuki. 2007

162 citations recorded by the source corpus.

We demonstrate spin injection into a graphene thin film with high reliability by using non-local magnetoresistance (MR) measurements, in which the electric current path is completely separated from the spin current path. Using these non-local measurements, an obvious MR effect was observed at room temperature; the MR effect was ascribed to magnetization reversal of ferromagnetic electrodes. This result is a direct demonstration of spin injection into a graphene thin film. Furthermore, this is the first report of spin injection into molecules at room temperature.

Subfields: Electronic, Optical and Magnetic Materials, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/d19362ebd18e384a96a03a255ce60da5342ee5f0

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In Electronic, Optical and Magnetic Materials

In Materials Chemistry

Citations in the corpus

The electronic properties of graphene (2007, background): “The amazingtransport properties of graphene allow for their use ina plethora of appli ations ranging from single mole uledete tion (S hedin et al., 2007; Wehling et al., 2007)to spin inje tion (Cho et al., 2007; Hill et al., 2007;Ohishi et al., 2007; Tombros et al., 2007).”
Spintronics and pseudospintronics in graphene and topological insulators. (2012, background): “nately, this simple and happy scenario has not yet been realized; observed spin memory times and lengths are still much shorter than these values. Early Hanle spinprecession studies - [27][28][29][30][31][32][33] found that the spindiffusion- length λ sd was indeed proportional to the charge scatter”
The role of contact resistance in graphene field-effect devices (2017, background): “Several attempts to realize graphene based spin-transistor as well as spin valves have been reported [193-200], but the measured values of spin lifetimes always resulted significantly smaller than the prediction.”