The anisotropic tunneling behavior of spin transport in graphene-based magnetic tunneling junction

JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS

卷:453

Article

Pan, Mengchun¹  Li, Peisen¹  Qiu, Weicheng¹  Zhao, Jianqiang¹  Peng, Junping¹  Hu, Jiafei¹  Hu, Jinghua¹  Tian, Wugang¹  Hu, Yueguo¹  Chen, Dixiang¹  Wu, Xuezhong¹  Xu, Zhongjie²  Yuan, Xuefeng³ 

[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China

[2] Natl Univ Def Technol, Coll Optoelect Sci & Engn, Changsha 410073, Hunan, Peoples R China

[3] Natl Supercomp Ctr Guangzhou, Guangzhou 510000, Guangdong, Peoples R China

关键词: Graphene;    Magnetic tunneling junction;    Spintronics device;    Non-collinear;    Anisotropy;   

DOI  :  10.1016/j.jmmm.2018.01.016

来源: Elsevier

【 摘 要 】

Due to the theoretical prediction of large tunneling magnetoresistance (TMR), graphene-based magnetic tunneling junction (MTJ) has become an important branch of high-performance spintronics device. In this paper, the non-collinear spin filtering and transport properties of MTJ with the Ni/tri-layer graphene/Ni structure were studied in detail by utilizing the non-equilibrium Green's formalism combined with spin polarized density functional theory. The band structure of Ni-C bonding interface shows that Ni-C atomic hybridization facilitates the electronic structure consistency of graphene and nickel, which results in a perfect spin filtering effect for tri-layer graphene-based MTJ. Furthermore, our theoretical results show that the value of tunneling resistance changes with the relative magnetization angle of two ferromagnetic layers, displaying the anisotropic tunneling behavior of graphene-based MTJ. This originates from the resonant conduction states which are strongly adjusted by the relative magnetization angles. In addition, the perfect spin filtering effect is demonstrated by fitting the anisotropic conductance with the Julliere's model. Our work may serve as guidance for researches and applications of graphene-based spintronics device. (C) 2018 Elsevier B.V. All rights reserved.

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