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Title: Scaling and variability in ultra thin body silicon on insulator (UTB SOI) MOSFETs
Author: Mohd Zain, Anis Suhaila
ISNI:       0000 0004 2736 7232
Awarding Body: University of Glasgow
Current Institution: University of Glasgow
Date of Award: 2013
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The main objective of this thesis is to perform a comprehensive simulation study of the statistical variability in well scaled fully depleted ultra thin body silicon on insulator (FD-UTB SOI) at nanometer regime. It describes the design procedure for template FDUTB SOI transistor scaling and the impacts of statistical variability and reliability the scaled template transistor. The starting point of this study is a systematic simulation analysis based on a welldesigned 32nm thin body SOI template transistor provided by the FP7 project PULLNANO. The 32nm template transistor is consistent with the International Technology Roadmap for Semiconductor (ITRS) 2009 specifications. The wellestablished 3D ‘atomistic’ simulator GARAND has been employed in the designing of the scaled transistors and to carry out the statistical variability simulations. Following the foundation work in characterizing and optimizing the template 32 nm gate length transistor, the scaling proceeds down to 22 nm, 16 nm and 11 nm gate lengths using typically 0.7 scaling factor in respect of the horizontal and vertical transistor dimensions. The device design process is targeted for low power applications with a careful consideration of the impacts of the design parameters choice including buried oxide thickness (TBOX), source/drain doping abruptness (σ) and spacer length (Lspa). In order to determine the values of TBOX, σ, and Lspa, it is important to analyze simulation results, carefully assessing the impact on manufacturability and to consider the corresponding trade-off between short channel effects and on-current performance. Considering the above factors, TBOX = 10nm, σ = 2nm/dec and Lspa = 7nm have been adopted as optimum values respectively. iv The statistical variability of the transistor characteristics due to intrinsic parameter fluctuation (IPF) in well-scaled FD-UTB SOI devices is systematically studied for the first time. The impact of random dopant fluctuation (RDF), line edge roughness (LER) and metal gate granularity (MGG) on threshold voltage (Vth), on-current (Ion) and drain induced barrier lowering (DIBL) are analysed. Each principal sources of variability is treated individually and in combination with other variability sources in the simulation of large ensembles of microscopically different devices. The introduction of highk/ metal gate stack has improved the electrostatic integrity and enhanced the overall device performance. However, in the case of fully depleted channel transistors, MGG has become a dominant variability factor for all critical electrical parameters at gate first technology. For instance, σVth due to MGG increased to 41.9 mV at 11nm gate length compared to 26.0 mV at 22nm gate length. Similar trend has also been observed in σIon, increasing from 0.065 up to 0.174 mA/μm when the gate length is reduced from 22 nm down to 11 nm. Both RDF and LER have significant role in the intrinsic parameter fluctuations and therefore, none of these sources should be overlooked in the simulations. Finally, the impact of different variability sources in combination with positive bias temperature instability (PBTI) degradation on Vth, Ion and DIBL of the scaled nMOSFETs is investigated. Our study indicates that BTI induced charge trapping is a crucial reliability problem for the FD-UTB SOI transistors operation. Its impact not only introduces a significant degradation of transistor performance, but also accelerates the statistical variability. For example, the effect of a late degradation stage (at trap density of 1e12/cm2) in the presence of RDF, LER and MGG results in σVth increase to 36.9 mV, 45.0 mV and 58.3 mV for 22 nm, 16 nm and 11 nm respectively from the original 29.0 mV, 37.9 mV and 50.4 mV values in the fresh transistors.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: TA Engineering (General). Civil engineering (General)