2021
DOI: 10.1103/physrevb.103.075129
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Graphene on two-dimensional hexagonal BN, AlN, and GaN: Electronic, spin-orbit, and spin relaxation properties

Abstract: We investigate the electronic band structure of graphene on a series of two-dimensional hexagonal nitride insulators hXN, X = B, Al, and Ga, with first principles calculations. A symmetry-based model Hamiltonian is employed to extract orbital parameters and spin-orbit coupling (SOC) from the low-energy Dirac bands of the proximitized graphene. While commensurate hBN induces the staggered potential of about 10 meV into the Dirac band structure, less lattice-matched hAlN and hGaN disrupt the Dirac point much les… Show more

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Cited by 24 publications
(15 citation statements)
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“…From our first-principles calculations we obtain the low energy Dirac band structure of the proximitized graphene and extract realistic parameters for an effective Hamiltonian describing the low-energy bands. The goal is to find an effective description for the low-energy physics, which is relevant for studying transport [23,24,26,45,94], topology [52,95], spin relaxation [38,43,96,97], or emergent long-range or-der [98]. Due to the short-range nature of the proximity effects in van der Waals heterostructures, the effective models are transferable [99][100][101].…”
Section: Low Energy Model Hamiltonianmentioning
confidence: 99%
“…From our first-principles calculations we obtain the low energy Dirac band structure of the proximitized graphene and extract realistic parameters for an effective Hamiltonian describing the low-energy bands. The goal is to find an effective description for the low-energy physics, which is relevant for studying transport [23,24,26,45,94], topology [52,95], spin relaxation [38,43,96,97], or emergent long-range or-der [98]. Due to the short-range nature of the proximity effects in van der Waals heterostructures, the effective models are transferable [99][100][101].…”
Section: Low Energy Model Hamiltonianmentioning
confidence: 99%
“…While those models provide rich mechanistic insights, they are lack of predictive power and quantitative accuracy, compared to first-principles theory. On the other hand, most first-principles studies only simulated the band structures and spin polarizations/textures of the heterostructures [14][15][16] , which are not adequate for understanding spin relaxation. Recently, with our newly-developed first-principles density-matrix (FPDM) dynamics approach, we studied the hBN substrate effect on spin relaxation of graphene, a weak SOC Dirac material.…”
Section: Introductionmentioning
confidence: 99%
“…While those models provide rich mechanistic insights, they are lack of predictive power and quantitative accuracy, compared to first-principles theory. On the other hand, most first-principles studies only simulated the band structures and spin polarizations/textures of the heterostructures [14][15][16], which are not adequate for understanding spin relaxation. Recently, with our newlydeveloped first-principles density-matrix (FPDM) dynamics approach, we studied the hBN substrate effect on spin relaxation of graphene, a weak SOC Dirac material.…”
Section: Introductionmentioning
confidence: 99%