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Mapping charge excitations in generalized Wigner crystals.

Hongyuan LiZiyu XiangEmma C ReganWenyu ZhaoRenee SailusRounak BanerjeeTakashi TaniguchiKenji WatanabeSeth Ariel TongayAlex ZettlMichael F CrommieFeng Wang
Published in: Nature nanotechnology (2024)
Transition metal dichalcogenide-based moiré superlattices exhibit strong electron-electron correlations, thus giving rise to strongly correlated quantum phenomena such as generalized Wigner crystal states. Evidence of Wigner crystals in transition metal dichalcogenide moire superlattices has been widely reported from various optical spectroscopy and electrical conductivity measurements, while their microscopic nature has been limited to the basic lattice structure. Theoretical studies predict that unusual quasiparticle excitations across the correlated gap between upper and lower Hubbard bands can arise due to long-range Coulomb interactions in generalized Wigner crystal states. However, the microscopic proof of such quasiparticle excitations is challenging because of the low excitation energy of the Wigner crystal. Here we describe a scanning single-electron charging spectroscopy technique with nanometre spatial resolution and single-electron charge resolution that enables us to directly image electron and hole wavefunctions and to determine the thermodynamic gap of generalized Wigner crystal states in twisted WS 2 moiré heterostructures. High-resolution scanning single-electron charging spectroscopy combines scanning tunnelling microscopy with a monolayer graphene sensing layer, thus enabling the generation of individual electron and hole quasiparticles in generalized Wigner crystals. We show that electron and hole quasiparticles have complementary wavefunction distributions and that thermodynamic gaps of ∼50 meV exist for the 1/3 and 2/3 generalized Wigner crystal states in twisted WS 2 .
Keyphrases
  • high resolution
  • solar cells
  • electron microscopy
  • transition metal
  • single molecule
  • electron transfer
  • mass spectrometry
  • room temperature
  • high speed
  • deep learning
  • high throughput