• 文献标题:   Spin-dependent transport properties and Seebeck effects for a crossed graphene superlattice p-n junction with armchair edge
  • 文献类型:   Article
  • 作  者:   ZHOU BH, ZHOU BL, ZENG YS, DUAN MY, ZHOU GH
  • 作者关键词:   crossed graphene superlattice pn junction, spindependent transport propertie, seebeck coefficient, nonequilibrium green s function
  • 出版物名称:   FRONTIERS OF PHYSICS
  • ISSN:   2095-0462
  • 通讯作者地址:   Shaoyang Univ
  • 被引频次:   2
  • DOI:   10.1007/s11467-018-0770-6
  • 出版年:   2018

▎ 摘  要

Using the nonequilibrium Green's function method combined with the tight-binding Hamiltonian, we theoretically investigate the spin-dependent transmission probability and spin Seebeck coefficient of a crossed armchair-edge graphene nanoribbon (AGNR) superlattice p-n junction under a perpendicular magnetic field with a ferromagnetic insulator, where junction widths W (1) of 40 and 41 are considered to exemplify the effect of semiconducting and metallic AGNRs, respectively. A pristine AGNR system is metallic when the transverse layer m = 3j + 2 with a positive integer j and an insulator otherwise. When stubs are present, a semiconducting AGNR junction with width W (1) = 40 always shows metallic behavior regardless of the potential drop magnitude, magnetization strength, stub length, and perpendicular magnetic field strength. However, metallic or semiconducting behavior can be obtained from a metallic AGNR junction with W (1) = 41 by adjusting these physical parameters. Furthermore, a metal-to-semiconductor transition can be obtained for both superlattice p-n junctions by adjusting the number of periods of the superlattice. In addition, the spin-dependent Seebeck coefficient and spin Seebeck coefficient of the two systems are of the same order of magnitude owing to the appearance of a transmission gap, and the maximum absolute value of the spin Seebeck coefficient reaches 370 A mu V/K when the optimized parameters are used. The calculated results offer new possibilities for designing electronic or heat-spintronic nanodevices based on the graphene superlattice p-n junction.