Analytical Modeling of Oppositely Doped Core-Shell Junctionless Nanowire Transistor Considering Fringe Capacitance and Dual Material Gate

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES Advanced Theory and Simulations Pub Date : 2025-02-22 DOI:10.1002/adts.202401148
Bharti, Poornima Mittal
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Abstract

This paper presents a physics-based analytical solution for junctionless nanowire field effect transistor (JL-NWFET) incorporating an oppositely doped core-shell (ODCS) structure, dual material gate (DMG), and a high permittivity spacer by solving Poisson's equation. The surface potential concept has been used to derive threshold voltage, drain-induced barrier lowering, drain current, and subthreshold slope. The results demonstrate that the cumulative benefits of ODCS, DMG, and high permittivity spacer in conventional JL-NWFET enhance the device performance and mitigate short channel effects (SCEs). Furthermore, the close agreement between the analytical and simulation results for different core thicknesses, spacer permittivities, channel lengths, and channel thicknesses highlights the robustness and reliability of the proposed modeling methodology, offering valuable guidance for device optimization and design refinement in nanoelectronics applications.

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本文通过求解泊松方程,提出了一种基于物理的无结纳米线场效应晶体管(JL-NWFET)分析解决方案,该晶体管采用了对立掺杂核壳(ODCS)结构、双材料栅极(DMG)和高介电常数间隔物。表面电势概念被用于推导阈值电压、漏极诱导势垒降低、漏极电流和阈下斜率。结果表明,在传统的 JL-NWFET 中,ODCS、DMG 和高介电常数垫片的累积优势可提高器件性能并减轻短沟道效应 (SCE)。此外,对于不同的磁芯厚度、间隔物介电常数、沟道长度和沟道厚度,分析结果和仿真结果都非常接近,这凸显了所提出的建模方法的稳健性和可靠性,为纳米电子应用中的器件优化和设计改进提供了宝贵的指导。
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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