Physics-based modeling of surface potential and leakage current for vertical Ga2O3 FinFET

晶体管 电容 泄漏(经济) 光电子学 材料科学 泊松方程 电场 电压 带隙 电子工程 计算物理学 物理 电气工程 工程类 宏观经济学 经济 量子力学 电极
作者
Twisha Titirsha,Md Maruf Hossain Shuvo,J.M. Gahl,Syed K. Islam
出处
期刊:Journal of Applied Physics [American Institute of Physics]
卷期号:135 (2) 被引量:1
标识
DOI:10.1063/5.0181720
摘要

Gallium oxide (Ga2O3) is a promising ultra-wide bandgap material offering a large bandgap (>4.7 eV) and high critical electric fields. The increasing demand for electronic devices for high-power applications in electric automobiles, high-performance computing, green energy technologies, etc., requires higher voltages and currents with enhanced efficiency. Vertical transistors, such as fin-shaped field-effect transistors (FinFETs) have emerged to meet the growing need with improved current handling capabilities, reduced resistance, and enhanced thermal performance. However, to fully exploit the Ga2O3 power transistors, precise and reliable physics-driven models are crucial. Therefore, a comprehensive surface potential model has been developed in this work for a vertical Ga2O3 FinFET. The electric potential across the channel is explained by analyzing the two-dimensional (2D) Poisson equation employing parabolic approximation. Such a surface potential model is instrumental in determining the performance of the Ga2O3 FinFET as it affects the threshold voltage, the drain current, and fringing capacitance. Exploiting the surface potentials, a fringing capacitance model is derived which is crucial in analyzing the speed of the device in compact integrated circuits. In addition, statistical analysis of the Ga2O3 FinFET using the Monte Carlo simulation technique is performed to determine the leakage current fluctuation due to doping variations. The validation of the analytical model with experimental results confirms the effectiveness and prospects of the developed models in the rapid development and characterization of next-generation high-performance vertical Ga2O3 power transistors.
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