English

Magic-Angle Twisted Symmetric Trilayer Graphene as Topological Heavy Fermion Problem

Mesoscale and Nanoscale Physics 2023-08-21 v2

Abstract

Recently, Ref. [1] reformulated magic-angle twisted bilayer graphene (MATBG) as a topological heavy fermion problem, and used this reformulation to provide a deeper understanding for the correlated phases at integer fillings. In this work, we generalize this heavy-fermion paradigm to magic-angle twisted symmetric trilayer graphene (MATSTG), and propose a low-energy fcdf-c-d model that reformulates MATSTG as heavy localized ff modes coupled to itinerant topological semimetalic cc modes and itinerant Dirac dd modes. Our fcdf-c-d model well reproduces the single-particle band structure of MATSTG at low energies for displacement field E[0,300]\mathcal{E}\in[0,300]meV. By performing Hartree-Fock calculations with the fcdf-c-d model for ν=0,1,2\nu=0,-1,-2 electrons per Moir\'e unit cell, we reproduce all the correlated ground states obtain from the previous numerical Hartree-Fock calculations with the Bistritzer-MacDonald-type (BM-type) model, and we find additional new correlated ground states at high displacement field. Based on the numerical results, we propose a simple rule for the ground states at high displacement fields by using the fcdf-c-d model, and provide analytical derivation for the rule at charge neutrality. We also provide analytical symmetry arguments for the (nearly-)degenerate energies of the high-E\mathcal{E} ground states at all the integer fillings of interest, and make experimental predictions of which charge-neutral states are stabilized in magnetic fields. Our fcdf-c-d model provides a new perspective for understanding the correlated phenomena in MATSTG, suggesting that the heavy fermion paradigm of Ref. [1] should be the generic underpinning of correlated physics in multilayer moire graphene structures.

Keywords

Cite

@article{arxiv.2301.04171,
  title  = {Magic-Angle Twisted Symmetric Trilayer Graphene as Topological Heavy Fermion Problem},
  author = {Jiabin Yu and Ming Xie and B. Andrei Bernevig and Sankar Das Sarma},
  journal= {arXiv preprint arXiv:2301.04171},
  year   = {2023}
}

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