Imaging junctions in two-dimensional semiconductor nanosheet networks

This study explores the challenges associated with translating electrical characteristics of individual two-dimensional semiconductor nanosheets into a network of partially overlapping sheets. Such systems typically suffer from high-energy barriers required to overcome the junctions formed between the adjacent nanosheets, and consequently quench the current passing through the network. We use <i>in-operando</i> Kelvin probe force microscopy to image electrostatic potential profiles during the operation of MoS<sub>2</sub> nanosheet network transistors. Direct imaging of the potential drops allows us to distinguish contributions from individual nanosheets and those from junctions, correlated by the junction-related potential drops with the network morphology. A diagram-based model is developed to describe the system numerically and to estimate the current path formation probabilities. Finally, a correlation with the integral electrical characteristics of the nanosheet-based transistors is made using a robust Y-function approach. It is shown that the total junction resistance is well estimated by the proposed equivalent circiut model.

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Publication Details

Journal
npj 2D Materials and Applications
Published
2025-10-31
DOI
https://doi.org/10.1038/s41699-025-00609-6
Citations
1
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.52

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Imaging junctions in two-dimensional semiconductor nanosheet networks

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article

Imaging junctions in two-dimensional semiconductor nanosheet networks

Aleksandar Matković, Muhammad Zubair Khan, Joseph Neilson, Jonathan N. Coleman, Tian Carey, Igor Stanković, Adam G. Kelly, Simon Leitner, Jelena Pešić, Dragana Tizić Matković
article en
1 citations

Abstract

This study explores the challenges associated with translating electrical characteristics of individual two-dimensional semiconductor nanosheets into a network of partially overlapping sheets. Such systems typically suffer from high-energy barriers required to overcome the junctions formed between the adjacent nanosheets, and consequently quench the current passing through the network. We use <i>in-operando</i> Kelvin probe force microscopy to image electrostatic potential profiles during the operation of MoS<sub>2</sub> nanosheet network transistors. Direct imaging of the potential drops allows us to distinguish contributions from individual nanosheets and those from junctions, correlated by the junction-related potential drops with the network morphology. A diagram-based model is developed to describe the system numerically and to estimate the current path formation probabilities. Finally, a correlation with the integral electrical characteristics of the nanosheet-based transistors is made using a robust Y-function approach. It is shown that the total junction resistance is well estimated by the proposed equivalent circiut model.

npj 2D Materials and ApplicationsVol. 9(1)
Montanuniversität Leoben (AT), Trinity College Dublin (IE), University of Belgrade (RS), Institute of Physics Belgrade (RS), Universidade Nova de Lisboa (PT)
Institute of Physics Belgrade, Graphene Flagship, European Commission, Science Foundation Ireland, Austrian Science Fund, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 31%
2D Materials and Applications
0.52
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