A striking example of frustration in physics is Hofstadter's butterfly, a fractal structure that emerges from the competition between a crystal's lattice periodicity and the magnetic length of an applied field. Current methods for predicting the topological invariants associated with Hofstadter's butterfly are challenging or impossible to apply to a range of materials, including those that are disordered or lack a bulk spectral gap. Here, we demonstrate a framework for predicting a material's local Chern markers using its position-space description and validate it against experimental observations of quantum transport in artificial graphene in a semiconductor heterostructure, inherently accounting for fabrication disorder strong enough to close the bulk spectral gap. By resolving local changes in the system's topology, we reveal the topological origins of antidot-localized states that appear in artificial graphene in the presence of a magnetic field. Moreover, we show the breadth of this framework by simulating how Hofstadter's butterfly emerges from an initially unpatterned 2D electron gas as the system's potential strength is increased and predict that artificial graphene becomes a topological insulator at the critical magnetic field. Overall, we anticipate that a position-space approach to determine a material's Chern invariant without requiring prior knowledge of its occupied states or bulk spectral gaps will enable a broad array of fundamental inquiries and provide a novel route to material discovery, especially in metallic, aperiodic, and disordered systems.
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International Center for Quantum Materials, School of Physics, Peking UniversityInternational Center for Quantum Materials, School of Physics, Peking University
机构:
Univ Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USA
Univ Calif Los Angeles, Dept Phys & Astron, Los Angeles, CA 90095 USA
Univ Calif Los Angeles, Dept Mat Sci & Engn, Los Angeles, CA 90095 USAUniv Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USA
Wang, Kang L.
Wu, Yingying
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Univ Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USAUniv Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USA
Wu, Yingying
Eckberg, Christopher
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US Army Res Lab, Adelphi, MD USA
Univ Calif Los Angeles, Los Angeles, CA USAUniv Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USA
Eckberg, Christopher
Yin, Gen
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Univ Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USAUniv Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USA
Yin, Gen
Pan, Quanjun
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Univ Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USAUniv Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USA