Abstract
One of the major challenges that technology evolution has been facing in the last few years is the increasing severity of variability associated with the discrete nature of charge and the atomicity of matter, which become relevant in aggressively scaled devices. This is even more critical as device architecture has evolved from the conventional planar CMOS technology into three-dimensional multi-gate structures such as FinFETs. The 3D nature of FinFETs is reflected in an enhanced impact of geometry fluctuations in various dimensions: line-edge roughness (LER) in these devices affects both the top and sidewall gate profiles, as well as the fin thickness. Furthermore, different orientations of metal grains which appear in modern metal-gate electrodes result in undesired work-function variations (WFV). The impact of LER and WFV on FinFET electrical performance is studied in this chapter through extensive Monte Carlo (MC) ensemble simulations compared with simplified models for variability estimation. Relevant electrical parameters are correlated with representative descriptors of the various roughness or gate granularity configurations. The analysis provides insight on the physical phenomena that cause fluctuations as well as indication on critical device features to be optimized for improved variation tolerance. The presented investigation has general validity and its conclusions are expected to apply to both current and future generations of multi-gate devices.
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Baravelli, E. (2013). Physical Insight and Correlation Analysis of Finshape Fluctuations and Work-Function Variability in FinFET Devices. In: Han, W., Wang, Z. (eds) Toward Quantum FinFET. Lecture Notes in Nanoscale Science and Technology, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-02021-1_5
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