Edge magnetism in transition metal dichalcogenide nanoribbons: Mean field theory and determinant quantum Monte Carlo

Francisco M. O. Brito, Linhu Li, João M. V. P. Lopes, and Eduardo V. Castro
Phys. Rev. B 105, 195130 – Published 20 May 2022

Abstract

Edge magnetism in zigzag transition metal dichalcogenide nanoribbons is studied using a three-band tight-binding model with local electron-electron interactions. Both mean field theory and the unbiased, numerically exact determinant quantum Monte Carlo method are applied. Depending on the edge filling, mean field theory predicts different phases: gapped spin dimer and antiferromagnetic phases appear for two specific fillings, with a tendency towards metallic edge-ferromagnetism away from those fillings. Determinant quantum Monte Carlo simulations confirm the stability of the antiferromagnetic gapped phase at the same edge filling as mean field theory, despite being sign-problematic for other fillings. The obtained results point to edge filling as yet another key ingredient to understand the observed magnetism in nanosheets. Moreover, the filling dependent edge magnetism gives rise to spin-polarized edge currents in zigzag nanoribbons which could be tuned through a back gate voltage, with possible applications to spintronics.

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  • Received 14 January 2022
  • Revised 9 May 2022
  • Accepted 10 May 2022

DOI:https://doi.org/10.1103/PhysRevB.105.195130

©2022 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Francisco M. O. Brito1,*, Linhu Li2, João M. V. P. Lopes3, and Eduardo V. Castro3,4

  • 1Department of Physics, University of York, YO10 5DD York, United Kingdom
  • 2Guangdong Provincial Key Laboratory of Quantum Metrology and Sensing and School of Physics and Astronomy, Sun Yat-Sen University (Zhuhai Campus), Zhuhai 519082, China
  • 3Centro de Física das Universidades do Minho e Porto, Departamento de Física e Astronomia, Faculdade de Ciências, Universidade do Porto, 4169-007 Porto, Portugal
  • 4Beijing Computational Science Research Center, Beijing 100193, China

  • *Corresponding author: fmob500@york.ac.uk

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Vol. 105, Iss. 19 — 15 May 2022

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