Accurate modeling and analytical parameter extraction of the non-quasi-static small-signal model of FinFETs are presented using a three-dimensional device simulator. Using simple -and -matrices calculations, the extrinsic gate-to-drain/source capacitance and source/drain resistance are de-embedded from the small-signal equivalent circuit. The analytical parameter extractions are performed by -parameter analysis after removing the extrinsic gate-to-drain/source capacitance and source/drain resistance. Accuracy of the model and extraction method is verified with the device-simulation data up to 700 GHz. Without any complex fitting and optimization steps, the total modeling rms error of the -parameter up to 700 GHz was calculated to be only 1.9 % in the saturation region and 2.1 % in the linear region. Also, the bias dependencies of the small-signal parameters are presented.
As device size shrinks smaller, random telegraph signal (RTS) noise, which is caused by the trapping and detrapping of a single carrier will become a serious issue. In this paper, we characterized four level RTS and extracted the characteristics of two independent traps. Once the position of the trap is found in the oxide (x T ) and along the channel (y T ) with respect to source, we extracted difference between the oxide conduction band energy (E Cox ) and trap energy (E T ). Finally we introduce eight level RTS observed in some sample which indicates existence of three active traps.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.