Title :
Computationally Comprehensive and Efficient Generalized Poisson´s Solution for Better Nanoscale SOI MOSFET
Author :
Malakar, Tiya Dey ; Basu, Suman ; Bhattacharyya, Partha ; Sarkar, Subir Kumar
Author_Institution :
Dept. of Electron. & Telecommun. Eng., RCCIIT, Kolkata, India
Abstract :
In this paper, for the first time, a computationally comprehensive and efficient generalized Poisson´s solution is derived for better nanoscale SOI MOSFET and performance is analyzed for various gate dielectric materials to optimise / predict the better performance. Earlier methods employed for solving the Poisson´s equation rigorously for independent gate transistors and long channel asymmetric establish in potential models. But those potential models contain multiple intercoupled implicit equations which are to be solved self-consistently thereby establishing that those models are clearly inefficient for compact modelling. In this work, a novel rigorous method for solving PE has been described to get the potential profile of a single gate SOI MOSFET that incorporates a single implicit equation. The Poisson´s solution so obtained in the present work is found to be computationally more efficient for related circuit simulation compared to earlier developed solutions.
Keywords :
MOSFET; Poisson equation; dielectric materials; nanoelectronics; semiconductor device models; silicon-on-insulator; PE; circuit simulation; gate dielectric materials; generalized Poisson equation solution; independent gate transistors; long channel asymmetric; multiple intercoupled implicit equations; nanoscale SOI MOSFET; single gate SOI MOSFET; Analytical models; Electric potential; Equations; Hafnium compounds; Logic gates; MOSFET; Mathematical model; Gradual Channel Approximation (GCA); High K; SOI MOSFET;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.214