Electric-Field Sensor Based on Multilayer-MoS <sub>2</sub> /Multilayer-Graphene Heterostructure with Built-In Tensile Strain

High Resolution Image Download MS PowerPoint Slide We report a highly sensitive electric field (E-field) sensor based on a multilayer MoS 2 /multilayer graphene (ML-MoS 2 /MLG) heterostructure with built-in tensile strain. The MLG functions as a bottom source-drain contact, thereby enhancing the charge injection into the ML-MoS 2 channel. The unique device geometry further induces tensile strain in the ML-MoS 2 channel by bending it over the MLG edge, which improves the carrier mobility through reduced electron–phonon scattering. As a result, the ML-MoS 2 /MLG device achieves an average carrier mobility of 75.7 cm 2 V –1 s –1, with values up to ∼108 cm 2 V –1 s –1 at room temperature, significantly exceeding that of conventional metal-contacted MoS 2 devices. Upon exposure to external E-fields, the device exhibits polarity-dependent variations in the drain current arising from field-induced carrier transfer between the ML-MoS 2 channel and trap states at the SiO 2 /channel interface. The E-field sensitivity, defined as the relative change in drain current, increases linearly with the E-field magnitude. Owing to the enhanced charge injection and improved carrier mobility, the ML-MoS 2 /MLG device demonstrates superior E-field sensing performance, achieving a sensitivity around three times that of metal-contacted MoS 2 devices. Notably, the minimum detectable E-field reaches ∼100 V/m, highlighting its potential for atmospheric E-field monitoring toward lightning detection applications.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-06-29
DOI
https://doi.org/10.1021/acsami.6c06852
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electric-Field Sensor Based on Multilayer-MoS 2 /Multilayer-Graphene Heterostructure with Built-In Tensile Strain

Mohammad Razzakul Islam, Takeshi Kudo, Masashi Akabori, Afsal Kareekunnan et al.
ACS Applied Materials & Interfaces
2D Materials and Applications
article

Electric-Field Sensor Based on Multilayer-MoS 2 /Multilayer-Graphene Heterostructure with Built-In Tensile Strain

Mohammad Razzakul Islam, Takeshi Kudo, Masashi Akabori, Afsal Kareekunnan, Jiali Hu, hiroshi mizuta, Takeshi Maruyama
article en

Abstract

High Resolution Image Download MS PowerPoint Slide We report a highly sensitive electric field (E-field) sensor based on a multilayer MoS 2 /multilayer graphene (ML-MoS 2 /MLG) heterostructure with built-in tensile strain. The MLG functions as a bottom source-drain contact, thereby enhancing the charge injection into the ML-MoS 2 channel. The unique device geometry further induces tensile strain in the ML-MoS 2 channel by bending it over the MLG edge, which improves the carrier mobility through reduced electron–phonon scattering. As a result, the ML-MoS 2 /MLG device achieves an average carrier mobility of 75.7 cm 2 V –1 s –1, with values up to ∼108 cm 2 V –1 s –1 at room temperature, significantly exceeding that of conventional metal-contacted MoS 2 devices. Upon exposure to external E-fields, the device exhibits polarity-dependent variations in the drain current arising from field-induced carrier transfer between the ML-MoS 2 channel and trap states at the SiO 2 /channel interface. The E-field sensitivity, defined as the relative change in drain current, increases linearly with the E-field magnitude. Owing to the enhanced charge injection and improved carrier mobility, the ML-MoS 2 /MLG device demonstrates superior E-field sensing performance, achieving a sensitivity around three times that of metal-contacted MoS 2 devices. Notably, the minimum detectable E-field reaches ∼100 V/m, highlighting its potential for atmospheric E-field monitoring toward lightning detection applications.

ACS Applied Materials & Interfaces
Japan Advanced Institute of Science and Technology (JP), University of Southampton (GB)
Affordable and clean energy
Openalex Percentile: Top 16%
2D Materials and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.