Generation and edge-state transitions of pseudohelical edge state based on side potentials in graphene

Abstract Pseudohelical edge state (PHES) was proposed based on a staggered spin–orbit coupling (SOC) uniformly applied on graphene. In this work, we investigate the formation of the PHES and its edge-state transitions by the side potentials composed of a uniform SOC, an antiferromagnetic exchange field and a staggered electric field that are applied on the boundaries in zigzag graphene nanoribbon. The results reveal that the PHESs can also be achieved by the side potential of the antisymmetric uniform spin–orbit coupling, which is attributed to the fact that the opposite (same) sign of energies at the valleys <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi>K</mml:mi> </mml:mrow> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mi>K</mml:mi> <mml:mi>′</mml:mi> </mml:msup> </mml:mrow> </mml:math> indicates the presence (absence) of the edge state. Based on this modulated mechanism, the PHES can be further transformed into two different types of the PHESs, spin-polarized antichiral edge states (AESs) and one-sided spin-polarized AESs, by modulating the applied direction and location of the side potentials. More strikingly, by utilizing these edge-state transitions, we propose a spin dual-channel or single-channel field-effect transistor that can be operated by a staggered electric field. Moreover, we confirm that the proposed transistor is robust against disorders, with the assistance of calculating the transmission.

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Publication Details

Journal
New Journal of Physics
Published
2024-08-13
DOI
https://doi.org/10.1088/1367-2630/ad6eae
Citations
4
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.47

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article

Generation and edge-state transitions of pseudohelical edge state based on side potentials in graphene

Jun-Feng Liu, Xiao-Long Lü
4 citations
New Journal of Physics
Graphene research and applications
0.47
article

Generation and edge-state transitions of pseudohelical edge state based on side potentials in graphene

Jun-Feng Liu, Xiao-Long Lü
article en
4 citations

Abstract

Abstract Pseudohelical edge state (PHES) was proposed based on a staggered spin–orbit coupling (SOC) uniformly applied on graphene. In this work, we investigate the formation of the PHES and its edge-state transitions by the side potentials composed of a uniform SOC, an antiferromagnetic exchange field and a staggered electric field that are applied on the boundaries in zigzag graphene nanoribbon. The results reveal that the PHESs can also be achieved by the side potential of the antisymmetric uniform spin–orbit coupling, which is attributed to the fact that the opposite (same) sign of energies at the valleys <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi>K</mml:mi> </mml:mrow> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mi>K</mml:mi> <mml:mi>′</mml:mi> </mml:msup> </mml:mrow> </mml:math> indicates the presence (absence) of the edge state. Based on this modulated mechanism, the PHES can be further transformed into two different types of the PHESs, spin-polarized antichiral edge states (AESs) and one-sided spin-polarized AESs, by modulating the applied direction and location of the side potentials. More strikingly, by utilizing these edge-state transitions, we propose a spin dual-channel or single-channel field-effect transistor that can be operated by a staggered electric field. Moreover, we confirm that the proposed transistor is robust against disorders, with the assistance of calculating the transmission.

New Journal of PhysicsVol. 26(9)
Guangxi University of Science and Technology (CN), Guangzhou University (CN)
Natural Science Foundation of Guangxi Zhuang Autonomous Region, National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 39%
Graphene research and applications
0.47
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