Large-Signal Model of Graphene Field-Effect Transistors -- Part II: Circuit Performance Benchmarking
Francisco Pasadas, David Jim\'enez

TL;DR
This paper benchmarks the circuit performance of a large-signal graphene FET model by simulating various high-frequency circuits and comparing results with experimental data to validate the model's accuracy.
Contribution
It introduces a comprehensive circuit benchmarking approach for the graphene FET model reported in Part I, demonstrating its applicability in high-frequency circuit simulations.
Findings
Model accurately predicts high-frequency circuit behavior
Simulations match experimental data across multiple metrics
Validates the large-signal model for practical circuit design
Abstract
This paper presents a circuit performance benchmarking using the large-signal model of graphene field effect transistor reported in Part I of this two-part paper. To test the model, it has been implemented in a circuit simulator. Specifically we have simulated a high-frequency performance amplifier, together with other circuits that take advantage of the ambipolarity of graphene, such as a frequency doubler, a radio-frequency subharmonic mixer and a multiplier phase detector. A variety of simulations comprising DC, transient dynamics, Bode diagram, S-parameters, and power spectrum have been compared with experimental data to assess the validity of the model.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
