Geometrical variability impact on the gate tunneling leakage mechanisms in FinFETs

IF 1.4 4区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
C. Medina-Bailon, J.L. Padilla, L. Donetti, C. Navarro, C. Sampedro, F. Gamiz
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引用次数: 0

Abstract

Given the critical role that quantum tunneling effects play in the behavior of nanoelectronic devices, it is essential to investigate the influence and restraints of these phenomena on the overall transistor performance. In this work, a previously developed gate leakage model, incorporated into an in-house 2D Multi-Subband Ensemble Monte Carlo simulation framework, is employed to analyze the leakage current flowing across the gate insulator. The primary objective is to evaluate how variations in key geometrical parameters (specifically, gate oxide and semiconductor thicknesses dimensions) affect the magnitude and bias dependence of tunneling-induced leakage. Simulations are performed on a representative FinFET structure, and the results reveal that tunneling effects become increasingly pronounced at low gate voltages in devices with thinner oxides and thicker semiconductor thickness. These findings underscore the relevance of incorporating quantum tunneling mechanisms in predictive modeling of advanced transistor architectures.
几何变异性对栅极隧穿泄漏机制的影响
鉴于量子隧穿效应在纳米电子器件的行为中所起的关键作用,有必要研究这些现象对晶体管整体性能的影响和限制。在这项工作中,将先前开发的栅极泄漏模型整合到内部二维多子带集成蒙特卡罗模拟框架中,用于分析流过栅极绝缘子的泄漏电流。主要目的是评估关键几何参数(特别是栅极氧化物和半导体厚度尺寸)的变化如何影响隧道诱发泄漏的大小和偏置依赖性。在具有代表性的FinFET结构上进行了模拟,结果表明,在低栅极电压下,在更薄的氧化物和更厚的半导体厚度的器件中,隧道效应越来越明显。这些发现强调了在先进晶体管架构的预测建模中结合量子隧道机制的相关性。
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来源期刊
Solid-state Electronics
Solid-state Electronics 物理-工程:电子与电气
CiteScore
3.00
自引率
5.90%
发文量
212
审稿时长
3 months
期刊介绍: It is the aim of this journal to bring together in one publication outstanding papers reporting new and original work in the following areas: (1) applications of solid-state physics and technology to electronics and optoelectronics, including theory and device design; (2) optical, electrical, morphological characterization techniques and parameter extraction of devices; (3) fabrication of semiconductor devices, and also device-related materials growth, measurement and evaluation; (4) the physics and modeling of submicron and nanoscale microelectronic and optoelectronic devices, including processing, measurement, and performance evaluation; (5) applications of numerical methods to the modeling and simulation of solid-state devices and processes; and (6) nanoscale electronic and optoelectronic devices, photovoltaics, sensors, and MEMS based on semiconductor and alternative electronic materials; (7) synthesis and electrooptical properties of materials for novel devices.
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