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Exploiting the Photoresponse in LiInP2Se6 for Image Processing.

Anshul Rasyotra1, Anirban Chowdhury1, Dipanjan Sen1

  • 1Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.

Nano Letters
|April 6, 2026
PubMed
Summary
This summary is machine-generated.

Researchers discovered a unique light response in molybdenum disulfide (MoS2) transistors using lithium indium phosphide selenide (LiInP2Se6). This material enables on-chip image contrast modulation for advanced vision devices.

Keywords:
2D materials, thiophosphates, field effect transistorsanomalous photoresponseimage processingnegative photoconductivity

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Nanotechnology

Background:

  • Monolayer molybdenum disulfide (MoS2) field-effect transistors (FETs) are crucial in 2D electronics.
  • Investigating novel heterostructures is key to unlocking advanced functionalities.
  • Understanding sub-bandgap excitation effects is vital for optoelectronic applications.

Purpose of the Study:

  • To investigate the anomalous photoresponse of LiInP2Se6-gated MoS2 FETs.
  • To explore the potential of this heterostructure for image processing applications.
  • To demonstrate gate-tunable persistent negative photoconductivity.

Main Methods:

  • Fabrication of MoS2/LiInP2Se6 heterostructures.
  • Characterization of the photoresponse under varying light intensities.
  • Demonstration of image contrast modulation using gate bias and light exposure time.

Main Results:

  • Observed gate-tunable persistent negative photoconductivity in the MoS2/LiInP2Se6 heterostructure.
  • Photoresponse scales nonlinearly with incident light intensity.
  • Demonstrated on-chip image contrast modulation by tuning gate bias and light exposure time.

Conclusions:

  • LiInP2Se6 exhibits an anomalous photoresponse exploitable for image processing.
  • The MoS2/LiInP2Se6 heterostructure offers a novel platform for sensor-level contrast modulation.
  • This work presents a compact route for elementary preprocessing functions in vision devices.