Tunable interlayer charge-transfer states in MoSe<sub>2</sub>/WS<sub>2</sub>&nbsp;moiré superlattices

Oral-In-person

Abstract

Moiré superlattices formed by transition metal dichalcogenide (TMD) heterobilayers provide a versatile platform to study strongly correlated electronic, excitonic, and magnetic phenomena in solids. In particular, angle-aligned MoSe2/WS2 heterobilayers with a switchable type-I/type-II band alignment and strong strain reconstruction are predicted to host rich correlated spin and charge physics interplayed with a vertical electric field. However, conventional transport methods remain to be challenging to access such correlated electronic and magnetic states in electron-doped TMD moiré systems. Here, we report a systematic study of the interlayer charge-transfer states and their dynamics in the 0°- and 60°-aligned electron-doped MoSe2/WSmoiré superlattices using optical spectroscopical methods. By investigating the layer-resolved optical reflectance of the moiré excitations at different electric fields, we reveal multiple charge-ordered states in an integer filling factor sequence ν=1 to 4, associated with their interlayer charge transfer cascades near the type-I to type-II transition boundary. Furthermore, at ν=2, a robust pseudospin of the layer-switchable charge coupled with the vertical electric field can emerge, leading to an Ising ferromagnetic ground state. With an AC-modulated electrical-optical readout, we directly probe the pseudospin magnetization hysteresis and studied its ferromagnetic domain nucleation dynamics on a effective honeycomb lattice. Our results provide a comprehensive understanding of the correlated charge-transfer states in electron-doped MoSe2/WS2 moiré superlattices at integer fillings and demonstrate their high tunability for exploring emergent quantum many-body physics.

Presenters

  • Jiahui Nie

    • University of California, Berkeley

Authors

  • Jiahui Nie

    • University of California, Berkeley
  • Jingxu Xie

    • Lawrence Berkeley National Laboratory
  • Zheyu Lu

  • Tianle Wang

    • Harvard University
  • Mit Naik

    • University of Texas at Austin
  • Ruishi Qi

    • University of California, Berkeley
  • Steven Louie

    • University of California, Berkeley
  • Michael Zaletel

    • University of California, Berkeley
  • Archana Raja

    • Lawrence Berkeley National Laboratory
  • feng wang

    • University of California, Berkeley