# Optically Programmable Smart WSe<sub>2</sub>/hBN Heterostructure Gas Sensors

https://mdr.nims.go.jp/datasets/28853047-dd24-4227-a24a-8e03072a532b

## File

- [ali-et-al-2025-optically-programmable-smart-wse2-hbn-heterostructure-gas-sensors.pdf](https://mdr.nims.go.jp/filesets/7bfd6dbf-c81c-423f-8ba3-894bdbce7970/download) ([Detail](https://mdr.nims.go.jp/filesets/7bfd6dbf-c81c-423f-8ba3-894bdbce7970.md))

## Id

28853047-dd24-4227-a24a-8e03072a532b

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-05-04T06:46:49.072987Z

## Updated at

2026-05-11T01:21:11.056898Z

## Published at

2026-05-11T07:25:05.867296Z

## Doi



## First published url

https://doi.org/10.1021/acsami.5c09390

## Date published

2025-09-10

## Recorded date published

2025-9-10

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Optically Programmable Smart WSe<sub>2</sub>/hBN Heterostructure Gas Sensors
  title_type: original
  lang: en

## Description

- description: Highly sensitive, selective, and energy-efficient gas sensors are essential
    for real-time environmental monitoring and air quality assessment. In this work,
    we present an optically programmable gas sensor based on WSe₂/hBN heterostructure
    transistors for NOₓ detection. To understand the sensing mechanism, in situ Kelvin
    probe force microscopy (KPFM) was used, revealing that NOₓ adsorption at the metal/semiconductor
    interface modulates the Schottky barrier height (SBH), which governs charge transport
    and gas sensitivity. Furthermore, we demonstrate that UV-induced charge modulation
    allows dynamic control of sensor response, offering a tunable and reversible method
    for optimizing gas detection. This study highlights the potential of heterostructure
    engineering and optoelectronic modulation in developing next- generation, low-power
    smart gas sensors for environmental monitoring applications.
  description_type: abstract
  lang: und

## Creator

- name: Ayaz Ali
  role: author
- name: Prashant Bisht
  role: author
- name: Matthias Schrade
  role: author
- name: Wen Xing
  role: author
- name: Per Erik Vullum
  role: author
- name: Takashi Taniguchi
  role: author
  orcid: https://orcid.org/0000-0002-1467-3105
  organization: National Institute for Materials Science
- name: Kenji Watanabe
  role: author
  orcid: https://orcid.org/0000-0003-3701-8119
  organization: National Institute for Materials Science
- name: Bodh Raj Mehta
  role: author
- name: Branson D. Belle
  role: author

## Contact agent



## Publisher

organization: American Chemical Society (ACS)

## Managing organization



## Keyword

- subject: gas sensor
  schema: not_defined
- subject: WSe2/hBN Heterostructure
  schema: not_defined
- subject: Optically Programmable
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/
  date_licensed: 2025-08-12

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: ACS Applied Materials & Interfaces
  issn: '19448252'
  volume: '17'
  issue: '36'
  start_page: 50977
  end_page: 50985

## Conference



## Related item



## Funding

- funder_name: Ministry of Education, Culture, Sports, Science and Technology
- identifier: '197405'
  funder_name: Norges Forskningsr?d
- identifier: '280788'
  funder_name: Norges Forskningsr?d
- identifier: '295864'
  funder_name: Norges Forskningsr?d
- identifier: 02/130/SDU/10-17-01
  funder_name: Silesian University of Technology
- identifier: 20h00354
  funder_name: Japan Society for the Promotion of Science
- identifier: 21h05233
  funder_name: Japan Society for the Promotion of Science
- identifier: 23h02052
  funder_name: Japan Society for the Promotion of Science
- funder_name: National Institute for Materials Science

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 7bfd6dbf-c81c-423f-8ba3-894bdbce7970
  filename: ali-et-al-2025-optically-programmable-smart-wse2-hbn-heterostructure-gas-sensors.pdf
  content_type: application/pdf
  size: 5799106
  md5: 913157f03818e0275d51d848ea30c27e

## Thumbnail

fileset_id: 7bfd6dbf-c81c-423f-8ba3-894bdbce7970
filename: ali-et-al-2025-optically-programmable-smart-wse2-hbn-heterostructure-gas-sensors.pdf