Literature DB >> 19905829

Magnetoelectric effect in graphene nanoribbons on substrates via electric bias control of exchange splitting.

Zhuhua Zhang1, Changfeng Chen, Wanlin Guo.   

Abstract

We predict a magnetoelectric (ME) effect in graphene nanoribbons on silicon substrates by first-principles calculations. It is shown that a bias voltage can produce strong linear ME effect by driving charge transfer between the nanoribbons and substrate, thus tuning the exchange splitting of magnetic edge states; moreover, the bias induced n-to-p-type transition in the ribbon layer can switch the ME coefficient from negative to positive due to the unique symmetry of band structures. This mechanism is proven to be robust against variations in material and physical configurations, thus opening a new avenue for ME coupling in metal-free magnet systems of practical importance.

Entities:  

Year:  2009        PMID: 19905829     DOI: 10.1103/PhysRevLett.103.187204

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

1.  Tuning charge and spin excitations in zigzag edge nanographene ribbons.

Authors:  Sudipta Dutta; Katsunori Wakabayashi
Journal:  Sci Rep       Date:  2012-07-18       Impact factor: 4.379

2.  Spin-helical Dirac states in graphene induced by polar-substrate surfaces with giant spin-orbit interaction: a new platform for spintronics.

Authors:  S V Eremeev; I A Nechaev; P M Echenique; E V Chulkov
Journal:  Sci Rep       Date:  2014-11-04       Impact factor: 4.379

Review 3.  Tunable electronic and magnetic properties of two-dimensional materials and their one-dimensional derivatives.

Authors:  Zhuhua Zhang; Xiaofei Liu; Jin Yu; Yang Hang; Yao Li; Yufeng Guo; Ying Xu; Xu Sun; Jianxin Zhou; Wanlin Guo
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2016-03-15

4.  Circular polarization sensitive absorbers based on graphene.

Authors:  Kunpeng Yang; Min Wang; Mingbo Pu; Xiaoyu Wu; Hui Gao; Chenggang Hu; Xiangang Luo
Journal:  Sci Rep       Date:  2016-04-01       Impact factor: 4.379

  4 in total

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