Optimization of a Compact $I$ –$V$ Model for Graphene FETs: Extending Parameter Scalability for Circuit Design Exploration

Abstract

An optimization of the current-to-voltage transfer characteristic of a graphene FET (GFET) compact model, based on drift-diffusion carrier transport, is presented. The improved accuracy at Dirac point extends the model usability for GFETs when scaling parameters, such as voltage supply, gate length, oxide thickness, and mobility, for circuit design exploration. The model’s accuracy is demonstrated through fitting to GFETs processed in-house. The model has been written in a standard behavioral language, and extensively run in an analog circuit simulator for designing basic circuits, such as inverters and cascode cells, demonstrating its robustness.