Visualization of Mesoscopic Conductivity Fluctuations in Amorphous Semiconductor Thin-Film Transistors

Author:

Jia Yu, Yuchen Zhou, Xiao Wang, Ananth Dodabalapur, Keji Lai

Keyword:

Condensed Matter, Disordered Systems and Neural Networks, Disordered Systems and Neural Networks (cond-mat.dis-nn), Applied Physics (physics.app-ph)

journal:

Nano Letters (2023)

date:

2023-12-16 00:00:00

Abstract

Charge transport in amorphous semiconductors is considerably more complicated than process in crystalline materials due to abundant localized states. In addition to device-scale characterization, spatially resolved measurements are important to unveil electronic properties. Here, we report gigahertz conductivity mapping in amorphous indium gallium zinc oxide (a-IGZO) thin-film transistors by microwave impedance microscopy (MIM), which probes conductivity without Schottky barrier's influence. The difference between dc and microwave conductivities reflects the efficacy of the injection barrier in an accumulation-mode transistor. The conductivity exhibits significant nanoscale inhomogeneity in the subthreshold regime, presumably due to trapping and releasing from localized states. The characteristic length scale of local fluctuations, as determined by autocorrelation analysis, is about 200 nm. Using random-barrier model, we can simulate the spatial variation of potential landscape, which underlies the mesoscopic conductivity distribution. Our work provides an intuitive way to understand the charge transport mechanism in amorphous semiconductors at microscopic level.

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