Abstract

We investigate the electronic structure of graphene on a series of 2D hexagonal nitride insulators hXN, X = B, Al, and Ga, with DFT calculations. A symmetry-based model Hamiltonian is employed to extract orbital parameters and spin-orbit coupling (SOC) from the low-energy Dirac bands of proximitized graphene. While commensurate hBN induces a staggered potential of about 10 meV into the Dirac bands, less lattice-matched hAlN and hGaN disrupt the Dirac point much less, giving a staggered gap below 100 $\mu$eV. Proximitized intrinsic SOC surprisingly does not increase much above the pristine graphene value of 12 $\mu$eV; it stays in the window of (1-16) $\mu$eV, depending strongly on stacking. However, Rashba SOC increases sharply when increasing the atomic number of the boron group, with calculated maximal values of 8, 15, and 65 $\mu$eV for B, Al, and Ga-based nitrides, respectively. The individual Rashba couplings also depend strongly on stacking, vanishing in symmetrically-sandwiched structures, and can be tuned by a transverse electric field. The extracted spin-orbit parameters were used as input for spin transport simulations based on Chebyshev expansion of the time-evolution of the spin expectation values, yielding interesting predictions for the electron spin relaxation. Spin lifetime magnitudes and anisotropies depend strongly on the specific (hXN)/graphene/hXN system, and they can be efficiently tuned by an applied external electric field as well as the carrier density in the graphene layer. A particularly interesting case for experiments is graphene/hGaN, in which the giant Rashba coupling is predicted to induce spin lifetimes of 1-10 ns, short enough to dominate over other mechanisms, and lead to the same spin relaxation anisotropy as observed in conventional semiconductor heterostructures: 50\%, meaning that out-of-plane spins relax twice as fast as in-plane spins.

Highlights

  • Hexagonal boron nitride has become one of the most important insulator materials for electronics and spintronics

  • A interesting case for experiments is graphene/hexagonal gallium nitride (hGaN), in which the giant Rashba coupling is predicted to induce spin lifetimes of 1–10 ns, short enough to dominate over other mechanisms, and lead to the same spin relaxation anisotropy as that observed in conventional semiconductor heterostructures: 50%, meaning that out-of-plane spins relax twice as fast as in-plane spins

  • By varying the interlayer distance between graphene and a given hX N substrate, we find the energetically most favorable geometry, but we show that the orbital gap as well as proximity-induced spin-orbit coupling (SOC) parameters [especially Rashba and pseudospin-inversion asymmetry (PIA) ones] are highly tunable by the van der Waals gap between the layers

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Summary

INTRODUCTION

Hexagonal boron nitride (hBN) has become one of the most important insulator materials for electronics and spintronics. It seems natural to consider hGaN and hAlN as alternatives to hBN in transport experiments, even though few-layer and monolayer materials are difficult to synthesize at the moment. By encapsulating graphene between two hX N layers, the induced SOC results from an interplay of both layers (hBN induces a sizable orbital gap, while e.g., hGaN provides a large Rashba and PIA SOC) allowing for the customization of spin transport in graphene via layer engineering. The weak intrinsic combined with the strong Rashba SOC in graphene/hGaN results in spin lifetimes between 1 and 10 ns and a nearly constant spin relaxation anisotropy of 50% for all carrier densities. Adding a hBN capping layer, introduces a sizable orbital band gap in the Dirac spectrum, resulting in giant out-of-plane spin lifetimes and anisotropies near the charge-neutrality point

COMPUTATIONAL DETAILS AND GEOMETRY
MODEL HAMILTONIAN
FIRST-PRINCIPLES AND FIT RESULTS
Low-energy bands
Distance study
Encapsulated structures
Electric field effects
Rippling effects
Model and numerical approach
Single-sided heterostructures
Electric field dependence
Double-sided heterostructures
Findings
SUMMARY
Full Text
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