A Comprehensive Graphene FET Model for Circuit Design
2014 (English)In: IEEE Transactions on Electron Devices, ISSN 0018-9383, Vol. 61, no 4, 1199-1206 p.Article in journal (Refereed) Published
During the last years, graphene-based field-effect transistors (GFETs) have shown outstanding RF performance; therefore, they have attracted considerable attention from the electronic devices and circuits communities. At the same time, analytical models that predict the electrical characteristics of GFETs have evolved rapidly. These models, however, have a complexity level that can only be handled with the help of a circuit simulator. On the other hand, analog circuit designers require simple models that enable them to carry out fast hand calculations, i.e., to create circuits using small-signal hybrid-pi models, calculate figures of merit, estimate gains, pole-zero positions, and so on. This paper presents a comprehensive GFET model that is simple enough for being used in hand calculations during circuit design and at the same time, it is accurate enough to capture the electrical characteristics of the devices in the operating regions of interest. Closed analytical expressions are provided for the drain current I-D, small-signal transconductance gain g(m), output resistance r(o), and parasitic capacitances C-gs and C-gd. In addition, figures of merit, such as intrinsic voltage gain A(V), transconductance efficiency g(m)/I-D, and transit frequency f(T) are presented. The proposed model has been compared to a complete analytical model and also to measured data available in current literature. The results show that the proposed model follows closely to both the complete analytical model and the measured data; therefore, it can be successfully applied in the design of GFET analog circuits.
Place, publisher, year, edition, pages
2014. Vol. 61, no 4, 1199-1206 p.
Analytic model, field-effect transistor (FET), graphene
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-144530DOI: 10.1109/TED.2014.2302372ISI: 000333464000039ScopusID: 2-s2.0-84897916636OAI: oai:DiVA.org:kth-144530DiVA: diva2:714508
QC 201404282014-04-282014-04-242014-04-28Bibliographically approved