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Multilayer phase-coherent tunneling through amorphous MoO<sub>3</sub> barriers in heteromorphic In<sub>2</sub>O<sub>3</sub>/MoO<sub>3</sub> superlattices

ORAL

Abstract

Multilayer phase-coherent tunneling has been demonstrated in a heteromorphic superlattice structure with alternating polycrystalline In2O3 conducting layers and amorphous MoO3 insulating barriers. Unconventional periodic wavefunction with coherent Bloch-like states through multiple disordered barriers is demonstrated. Two methods of transport characterization verify multilayer coherence of this state in samples with varying thicknesses of the MoO3 layers, namely magnetoconductance (MC) with magnetic field parallel or perpendicular to the superlattice and temperature-dependent conductance. The MC reveals three superlattice weak localization (SLWL) behaviors with decreasing barrier thickness from uncoupled 2D multilayers to “scatter-first-then-tunnel” diffusive Fermi-surface regime, to “tunnel-first-then-scatter” propagative Fermi-surface regime (2D-DFS-PFS). The temperature dependence confirms quasi-2D logarithmic and quasi-3D exponential behaviors consistent with these regimes. Fit parameters including phase coherent length, mean free path, anisotropy coefficient, single-barrier tunnel time, vertical coupling energy are distinguished in each regime, from which evidence of multilayer phase-coherent tunneling is revealed with proper MoO3 layers thicknesses.

Publication: There is a pre-print for this work for publication ready to be submitted.

Presenters

  • Qing Shao

    Northwestern University

Authors

  • Qing Shao

    Northwestern University

  • Julia E Medvedeva

    Missouri University of Science & Technology

  • Can C Aygen

    Northwestern University, Northwestern University Department of Electrical and Computer Engineering

  • Woongkyu Lee

    Myongji University

  • Xianyu Chen

    Northwestern University

  • Robert P Chang

    Northwestern University

  • Matthew Grayson

    Northwestern University, Northwestern University Department of Electrical and Computer Engineering