SimulH: A Semiclassical Monte Carlo Framework for Transport Modeling in Monolayer Graphene Field-Effect Transistors
We present SimulH, a semiclassical Monte Carlo framework developed to model carrier transport in monolayer graphene field-effect transistors (GFETs), where achieving both physical accuracy and computational efficiency remains a key challenge for high-frequency device applications. The model is based on the Boltzmann transport equation and incorporates stochastic Monte Carlo simulations to describe carrier dynamics, including electron–phonon, electron–impurity, and electron–electron scattering processes, as well as quantum capacitance and contact resistance effects. To ensure a consistent description across operating conditions, three complementary approaches are used to evaluate the drain current. The results show strong agreement with reported experimental data, with prediction accuracies above 90% for mobility, capacitance behavior, and charge distribution. Simulations involving more than 40,000 carriers provide detailed insight into transport behavior and scattering mechanisms, while also capturing key features near the Dirac point and predicting cut-off frequencies up to 143.5 GHz. Overall, SimulH offers a reliable and computationally efficient framework that can support the design and optimization of graphene-based RF and nanoelectronic devices. In this regard, SimulH contributes to computational nanotechnology by enabling scalable transport analysis in graphene-based nanoelectronics.
Authors
- Edmundo Antonio Gutiérrez Domínguez
- Agustín L. Herrera‐May (ORCID: https://orcid.org/0000-0002-7373-9258)
- Enrique Delgado‐Alvarado (ORCID: https://orcid.org/0000-0002-6354-5222)
- J. Martínez-Castillo (ORCID: https://orcid.org/0000-0001-9460-9498)
- Pedro Javier Garcia-Ramirez (ORCID: https://orcid.org/0000-0003-3345-591X)
- Modesto Herrera-González
- Pedro Mabil-Espinosa (ORCID: https://orcid.org/0009-0001-1914-3277)
Institutions
- Universidad Veracruzana (MX)
- Instituto Tecnológico de Saltillo (MX)
Publication Details
- Journal
- Technologies
- Published
- 2026-10-09
- DOI
- https://doi.org/10.3390/technologies14100652
- Primary Topic
- Graphene research and applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00