Abstract

An in-house-built three-dimensional multi-method semi-classical/classical toolbox has been developed to characterise the performance, scalability, and variability of state-of-the-art semiconductor devices. To demonstrate capabilities of the toolbox, a 10 nm gate length Si gate-all-around field-effect transistor is selected as a benchmark device. The device exhibits an off-current () of A/m, and an on-current () of 1770 A/m, with the ratio , a value larger than that of a nm gate length Si FinFET. The device SS is 71 mV/dec, no far from the ideal limit of 60 mV/dec. The threshold voltage standard deviation due to statistical combination of four sources of variability (line- and gate-edge roughness, metal grain granularity, and random dopants) is mV, a value noticeably larger than that of the equivalent FinFET (30 mV). Finally, using a fluctuation sensitivity map, we establish which regions of the device are the most sensitive to the line-edge roughness and the metal grain granularity variability effects. The on-current of the device is strongly affected by any line-edge roughness taking place near the source-gate junction or by metal grains localised between the middle of the gate and the proximity of the gate-source junction.

Highlights

  • Gate-all-around nanowire field-effect transistors (GAA-NW FETs) are one of the main contenders for future CMOS technologies [1] since they provide a better electrostatic control of the channel when compared to fin field-effect transistors (FinFETs) [2], the current architecture adopted by the semiconductor industry

  • The Fluctuation Sensitivity Map (FSM) approach [47,48] is a methodology that we developed to predict the impact of the variability sources

  • This larger threshold voltage variability indicates that the variability effects may be another limiting factor for the adoption of the GAA-NW FETs in the future technological nodes

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Summary

A Multi-Method Simulation Toolbox to Study

Natalia Seoane 1, * , Daniel Nagy 1 , Guillermo Indalecio 1 , Gabriel Espiñeira 1 , Karol Kalna 2 and Antonio García-Loureiro 1. Nanoelectronic Devices Computational Group, College of Engineering, Swansea University, Swansea, Wales SA1 8EN, UK

Introduction
Simulation Framework
Performance and Variability of GAA-NW FETs
Benchmark Device
Variability Models
Simulation Method
Findings
Conclusions
Full Text
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