3D drift diffusion and 3D Monte Carlo simulation of on-current variability due to random dopants

Kovac, Urban (2010) 3D drift diffusion and 3D Monte Carlo simulation of on-current variability due to random dopants. PhD thesis, University of Glasgow.

Abstract

In this work Random Discrete Dopant induced on-current variations have been studied using the Glasgow 3D atomistic drift/diffusion simulator and Monte Carlo simulations.
A methodology for incorporating quantum
corrections into self-consistent atomistic Monte
Carlo simulations via the density gradient
effective potential is presented.
Quantum corrections based on the density gradient formalism are used to simultaneously capture quantum confinement effects.
The quantum
corrections not only capture charge confinement
effects, but accurately represent the electron impurity
interaction used in previous \textit{ab initio}
atomistic MC simulations, showing agreement with
bulk mobility simulation.
The effect of quantum
corrected transport variation in statistical
atomistic MC simulation is then investigated using
a series of realistic scaled devices nMOSFETs transistors with channel lengths 35 nm, 25 nm, 18nm, 13 nm and 9 nm.
Such simulations result in an increased drain current variability when compared with drift diffusion simulation.
The comprehensive statistical analysis of drain current variations is presented separately for each scaled transistor.
The investigation has shown increased current variation compared with
quantum corrected drift diffusion simulation and
with previous classical MC results.
Furthermore, it has been studied consistently the impact of transport variability due to scattering from random discrete dopants on the on-current variability in realistic nano CMOS transistors.
For the first time, a hierarchic simulation strategy to accurately transfer the increased on-current variability obtained from the ‘ab initio’ MC simulations to DD simulations is subsequently presented.
The MC corrected DD simulations are used to produce target $I_D-V_G$ characteristics from which statistical compact models are extracted for use in preliminary design kits at the early stage of new technology development.
The impact of transport variability on the accuracy of delay simulation are investigated in detail.
Accurate compact models extraction methodology transferring results from accurate physical variability simulation into statistical compact models suitable for statistical
circuit simulation is presented. In order to examine te size of this effect on circuits Monte Carlo SPICE simulations of inverter were carried out for 100 samples.

• Item Type: Thesis (PhD)
• Qualification Level: Doctoral
• Keywords: Monte Carlo, Drift Diffusion, MOSFET, Statistical variability,Compact model
• Subjects: Q Science > QC Physics; T Technology > TK Electrical engineering. Electronics Nuclear engineering
• Colleges/Schools: College of Science and Engineering > School of Engineering
• Supervisor's Name: Asenov, Prof. A. and Roy, Dr. S.
• Date of Award: 2010
• Depositing User: Mr Urban Kovac
• Unique ID: glathesis:2010-2309
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 21 Dec 2010
• Last Modified: 10 Dec 2012 13:53
• URI: https://theses.gla.ac.uk/id/eprint/2309