2018•IEEE Transactions on Electron DevicesRequires access

The First Compact Model to Determine $V_{T}$ Distribution for DG-FinFET Due to LER

Amita Amita, S. Mittal, Udayan Ganguly

Open publisher page 10 citations

Abstract

We report the first compact model to estimate the${V}_{T}$distribution of double gate-FinFET due to line edge roughness. We derive closed-form expressions, representing the compact model, for: 1) mean and standard deviation of fin width (${W}_{\text {fin}}$) in terms of geometrical and variability parameters of the FinFET; 2)${V}_{T}$as a function of${W}_{\mathrm {fin}}$for uniform width fins; and 3)${V}_{T}$in tapered fins using percolation. The${V}_{T}$distribution produced from the compact model shows a good match with well-calibrated TCAD data and demonstrates an excellent accuracy (~3mV rms error) for a wide range of scaling and variability parameters. The model is simple, platform independent, and$\sim {\text {10}}^{\text {4}}{\times }$faster compared to TCAD. It enables intuitive understanding of design space for FinFET on the one hand, and accurate FinFET variability-aware circuits and system design on the other hand.

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What this paper is about

We report the first compact model to estimate the${V}_{T}$distribution of double gate-FinFET due to line edge roughness. We derive closed-form expressions, representing the compact model, for: 1) mean and standard deviation of fin width (${W}_{\text {fin}}$) in terms of geometrical and variability parameters of the FinFET; 2)${V}_{T}$as a function of${W}_{\mathrm {fin}}$for uniform width fins; and 3)${V}_{T}$in tapered fins using percolation. The${V}_{T}$distribution produced from the compact model shows a good match with well-calibrated TCAD data and demonstrates an excellent accuracy (~3mV rms error) for a wide range of scaling and variability parameters. The model is simple, platform independent, and$\sim {\text {10}}^{\text {4}}{\times }$faster compared to TCAD. It enables intuitive understanding of design space for FinFET on the one hand, and accurate FinFET variability-aware circuits and system design on the other hand.

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Available abstract

We report the first compact model to estimate the${V}_{T}$distribution of double gate-FinFET due to line edge roughness. We derive closed-form expressions, representing the compact model, for: 1) mean and standard deviation of fin width (${W}_{\text {fin}}$) in terms of geometrical and variability parameters of the FinFET; 2)${V}_{T}$as a function of${W}_{\mathrm {fin}}$for uniform width fins; and 3)${V}_{T}$in tapered fins using percolation. The${V}_{T}$distribution produced from the compact model shows a good match with well-calibrated TCAD data and demonstrates an excellent accuracy (~3mV rms error) for a wide range of scaling and variability parameters. The model is simple, platform independent, and$\sim {\text {10}}^{\text {4}}{\times }$faster compared to TCAD. It enables intuitive understanding of design space for FinFET on the one hand, and accurate FinFET variability-aware circuits and system design on the other hand.

Key concepts: Notation, Mathematics, Discrete mathematics, Algorithm, Arithmetic

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