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Updated: Jan 18, 2026

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities
Published on: July 24, 2015
Tuning electrical performance of dual-gate semiconducting graphene field-effect transistor using plasma parameters
Monika Verma1, Suresh C Sharma1
1Department of Applied Physics, Delhi Technological University, Bawana Road, Delhi 110042, India.
This study simulated dual-gate graphene field-effect transistors (GFETs), finding that decreasing plasma parameters during fabrication enhances GFET electrical properties for applications in high-frequency circuits and biosensing.
Area of Science:
- Materials Science
- Electrical Engineering
- Semiconductor Physics
Background:
- Graphene field-effect transistors (GFETs) are promising for advanced electronics.
- Optimizing GFET fabrication processes is crucial for performance enhancement.
- Vertically aligned graphene synthesized via PECVD offers unique structural advantages.
Purpose of the Study:
- To investigate the impact of plasma parameters on dual-gate semiconducting GFET performance.
- To correlate electrical properties with specific plasma conditions and graphene thicknesses.
- To provide a theoretical framework for optimizing plasma-grown GFETs.
Main Methods:
- Simulation-based analysis using SILVACO TCAD software.
- Investigated varying electron and ion temperatures and densities in PECVD.
- Correlated simulated electrical properties with experimental observations.
Main Results:
- Electrical properties such as drain current, Ion/Ioff ratio, transconductance, and cutoff frequency increase with decreasing plasma parameters.
- A clear relationship was established between plasma processing parameters and GFET characteristics.
- Simulated results align with existing experimental findings.
Conclusions:
- Decreasing plasma parameters in PECVD fabrication optimizes dual-gate GFET performance.
- The developed relations enable modulation of GFET properties for industrial applications.
- Findings support future experimental validation and process optimization for high-frequency circuits, solar cells, supercapacitors, and biosensors.
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