An analytical model of triple‐material double‐gate metal–oxide–semiconductor field‐effect transistor to suppress short‐channel effects

This paper presents an analytical subthreshold model for surface potential and threshold voltage of a triple‐material double‐gate (DG) metal–oxide–semiconductor field‐effect transistor. The model is developed by using a rectangular Gaussian box in the channel depletion region with the required boundary conditions at the source and drain end. The model is used to study the effect of triple‐material gate structure on the electrical performance of the device in terms of changes in potential and electric field. The device immunity against short‐channel effects is evaluated by comparing the relative performance parameters such as drain‐induced barrier lowering, threshold voltage roll‐off, and subthreshold swing with its counterparts in the single‐material DG and double‐material DG metal–oxide–semiconductor field‐effect transistors. The developed surface potential model not only provides device physics insight but is also computationally efficient because of its simple compact form that can be utilized to study and characterize the gate‐engineered devices. Furthermore, the effects of quantum confinement are analyzed with the development of a quantum‐mechanical correction term for threshold voltage. The results obtained from the model are in close agreement with the data extracted from numerical Technology Computer Aided Design device simulation. Copyright © 2015 John Wiley & Sons, Ltd.     

A physically based,accurate compact model of direct tunneling gate current considering quantum mechanical effects in nanoscale metal‐oxide‐semiconductor field‐effect transistors

We present a physically based, accurate model of the direct tunneling gate current of nanoscale metal‐oxide‐semiconductor field‐effect transistors considering quantum mechanical effects. Effect of wave function penetration into the gate dielectric is also incorporated. When electrons tunnel from the metal oxide semiconductor inversion layer to the gate, the eigenenergies of the quasi‐bound states turn out to be complex quantities. The imaginary part of these complex eigenenergies, Γ_ij, are required to estimate the finite lifetimes of these states. We present an empirical equation of Γ_ij as a function of surface potential. Inversion layer electron concentration is determined using eigenenergies, calculated by modified Airy function approximation. Hence, a compact model of direct tunneling gate current is proposed using a novel approach. Good agreement of the proposed compact model with self‐consistent numerical simulator and published experimental data for a wide range of substrate doping densities and oxide thicknesses states the accuracy and robustness of the proposed model. The proposed model can well be extended for devices with high‐κ/stack gate dielectrics introducing necessary modifications. Copyright © 2011 John Wiley & Sons, Ltd.     

Potential‐based threshold voltage and subthreshold swing models for junctionless double‐gate metal‐oxide‐semiconductor field‐effect transistor with dual‐material gate

On the basis of quasi‐two‐dimensional solution of Poisson's equation, an analytical threshold voltage model for junctionless dual‐material double‐gate (JLDMDG) metal‐oxide‐semiconductor field‐effect transistor (MOSFET) is developed for the first time. The advantages of JLDMDG MOSFET are proved by comparing the central electrostatic potential and electric field distribution with those of junctionless single‐material double‐gate (JLSMDG) MOSFET. The proposed model explicitly shows how the device parameters (such as the silicon thickness, oxide thickness, and doping concentration) affect the threshold voltage. In addition, the variations of threshold voltage roll‐off, drain‐induced barrier lowering (DIBL), and subthreshold swing with the channel length are investigated. It is proved that the device performance for JLDMDG MOSFET can be changed flexibly by adjusting the length ratios of control gate and screen gate. The model is verified by comparing its calculated results with those obtained from three‐dimensional numerical device simulator ISE. Copyright © 2015 John Wiley & Sons, Ltd.