2008 NSTI Nanotechnology Conference and Trade Show - Nanotech 2008 - 11th Annual

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Clean Technology 2008

Parameter Extraction for Advanced MOSFET Model using Particle Swarm Optimization

R.A. Thakker, M.B. Patil, K.G. Anil
Indian Institute of Technology, IN

MOSFET parameter extraction, particle swarm optimization

In the sub 100-nm regime, MOSFET parameter extraction has become a challenging task. Commonly used gradient based methods have many difficulties such as good initial guess requirement, singularities in objective functions, etc. Genetic Algorithm (GA), which does not suffer from these problems, is reported for parameter extraction of various state-of-the-art MOSFET models recently. Compared to GA, the Particle Swarm Optimization (PSO) algorithm [1] is reported to be more efficient for several applications and is also shown to perform better for MOSFET parameter extraction [2]. In this paper, a novel “memory loss (ML)” feature is introduced in the PSO algorithm for the first time, which further improves its efficiency.

Nanotech 2008 Conference Program Abstract