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Physics-based analytical channel charge model of InxGa1-xAs/In0.52Al0.48As quantum-well field-effect transistors from subthreshold to strong inversion regimes

This paper presents a physics-based analytical channel charge model for indium-rich InxGa1-xAs/In0.52Al0.48As quantum-well (QW) field-effect transistors (FETs) that is applicable from the subthreshold to strong inversion regimes. The model requires only seven physical/geometrical parameters, along w...

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Bibliographic Details
Published in:IEEE journal of the Electron Devices Society 2022, Vol.10, p.1-1
Main Authors: Jeong, Hyeon-Seok, Park, Wan-Soo, Jo, Hyeon-Bhin, Lee, In-Geun, Kim, Tae-Woo, Tsutsumi, Takuya, Sugiyama, Hiroki, Matsuzaki, Hideaki, Hahm, Sung-Ho, Lee, Jae-Hak, Kim, Dae-Hyun
Format: Article
Language:English
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Summary:This paper presents a physics-based analytical channel charge model for indium-rich InxGa1-xAs/In0.52Al0.48As quantum-well (QW) field-effect transistors (FETs) that is applicable from the subthreshold to strong inversion regimes. The model requires only seven physical/geometrical parameters, along with three transition coefficients. In the subthreshold regime, the conduction bands (EC) of all regions are flat with finite and symmetrical QW configurations. Since the Fermi-level (EF) is located far below EC, the two-dimensional electron-gas density (n2-DEG) should be minimal and can thus be approximated from Maxwell-Boltzmann statistics. In contrast, the applied gate bias lowers the EC of all structures in the inversion regime, yielding band-bending of an In0.52Al0.48As insulator and InxGa1-xAs QW channel. The dependency of the energy separation between EF and EC on the surface of the InxGa1-xAs QW channel upon VGS enables construction of the charge-voltage behaviors of InxGa1-xAs/In0.52Al0.48As QW FETs. To develop a unified, continuous and differentiable areal channel charge density (Qch) model that is valid from the subthreshold to strong inversion regimes, the previously proposed inversion-layer transition function is further revised with three transition coefficients of η,α and β in this work. To verify the proposed approach, the results of the proposed model are compared with those of not only the numerically calculated Qch from a one-dimensional (1D) Poisson-Schrodinger solver, but also the measured gate capacitance of a fabricated In0.7Ga0.3As QW metal-insulator-semiconductor FET with large gate length, yielding excellent agreement between the simulated and measured results.
ISSN:2168-6734
DOI:10.1109/JEDS.2022.3171437