Finite element modeling of back-gated monolayer graphene FETs with carrier-dependent transport and residual density effects

• A finite element modeling framework for back-gated monolayer graphene FETs is developed and validated. • Carrier-dependent transport with residual density effects near the Dirac point is incorporated. • Excellent agreement between analytical and FEM results is achieved, with current deviation below 0.1%. • Drain current scaling with channel length and effective graphene thickness is accurately reproduced. • The model provides a computationally efficient tool extensible to complex GFET geometries and layouts. This work develops and validates a finite element modeling framework for back-gated monolayer graphene field-effect transistors (GFETs) using COMSOL Multiphysics and a macroscopic conductivity-based transport model. The analytical formulation incorporates gate-voltage-induced carrier modulation, a residual carrier density near the Dirac point, and field- and density-dependent mobility, enabling a realistic description of charge transport in the low source–drain bias regime. Finite element simulations of devices with varying channel lengths and effective graphene thicknesses are systematically benchmarked against the analytical model for rectangular channels, showing excellent agreement with deviations in maximum drain current below 0.1%. The framework reproduces the expected inverse scaling of drain current with channel length, linear dependence on effective graphene thickness, and a pronounced resistance peak near the Dirac point arising from residual carriers. By representing graphene as a surface-conducting layered shell, the model captures essential GFET physics while remaining computationally efficient and is readily extensible to complex channel geometries, multi-finger gate architectures, and realistic layouts beyond the reach of closed-form analytical solutions.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2026-04-17
DOI
https://doi.org/10.1016/j.rineng.2026.110580
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finite element modeling of back-gated monolayer graphene FETs with carrier-dependent transport and residual density effects

Marwan Suleiman Mousa, Veronika Novotná, Dinara S. Sobola, Jan Mikláš et al.
Results in Engineering
Graphene research and applications
article

Finite element modeling of back-gated monolayer graphene FETs with carrier-dependent transport and residual density effects

Marwan Suleiman Mousa, Veronika Novotná, Dinara S. Sobola, Jan Mikláš, Robert Macků, Martin Hemzal, Ammar Alsoud, Mohammad Hassan, Petr Sedlák, Anas Y. Al-Reyahi
article en

Abstract

• A finite element modeling framework for back-gated monolayer graphene FETs is developed and validated. • Carrier-dependent transport with residual density effects near the Dirac point is incorporated. • Excellent agreement between analytical and FEM results is achieved, with current deviation below 0.1%. • Drain current scaling with channel length and effective graphene thickness is accurately reproduced. • The model provides a computationally efficient tool extensible to complex GFET geometries and layouts. This work develops and validates a finite element modeling framework for back-gated monolayer graphene field-effect transistors (GFETs) using COMSOL Multiphysics and a macroscopic conductivity-based transport model. The analytical formulation incorporates gate-voltage-induced carrier modulation, a residual carrier density near the Dirac point, and field- and density-dependent mobility, enabling a realistic description of charge transport in the low source–drain bias regime. Finite element simulations of devices with varying channel lengths and effective graphene thicknesses are systematically benchmarked against the analytical model for rectangular channels, showing excellent agreement with deviations in maximum drain current below 0.1%. The framework reproduces the expected inverse scaling of drain current with channel length, linear dependence on effective graphene thickness, and a pronounced resistance peak near the Dirac point arising from residual carriers. By representing graphene as a surface-conducting layered shell, the model captures essential GFET physics while remaining computationally efficient and is readily extensible to complex channel geometries, multi-finger gate architectures, and realistic layouts beyond the reach of closed-form analytical solutions.

Results in EngineeringVol. 30
Al-Ahliyya Amman University (JO), Hashemite University (JO), Jadara University (JO), Brno University of Technology (CZ)
Grantová Agentura České Republiky
Openalex Percentile: Top 20%
Graphene research 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.