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Impact of the Trap Attributes on the Gate Leakage Mechanisms in a 2D MS-EMC Nanodevice Simulator

机译:陷阱属性对2D MS-EMC Nanodemice Simulator中栅极泄漏机制的影响

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From a modeling point of view, the inclusion of adequate physical phenomena is mandatory when analyzing the behavior of new transistor architectures. In particular, the high electric field across the ultra-thin insulator in aggressively scaled transistors leads to the possibility for the charge carriers in the channel to tunnel through the gate oxide via various gate leakage mechanisms (GLMs). In this work, we study the impact of trap number on gate leakage using the GLM model, which is included in a Multi-Subband Ensemble Monte Carlo (MS-EMC) simulator for Fully-Depleted Silicon-On-Insulator (FDSOI) field effect transistors (FETs). The GLM code described herein considers both direct and trap-assisted tunneling. This work shows that trap attributes and dynamics can modify the device electrostatic characteristics and even play a significant role in determining the extent of GLMs.
机译:从建模的角度来看,在分析新晶体管架构的行为时,必须包含足够的物理现象。特别地,在积极缩放的晶体管上穿过超薄绝缘体的高电场导致通道中的电荷载流子通过各种栅极泄漏机构(GLM)通过栅极贯通隧道。在这项工作中,我们研究了使用GLM模型的GLM模型研究了陷阱数对栅极泄漏的影响,该GLM模型包括在多子带集合蒙特卡罗(MS-EMC)模拟器中,用于全耗尽绝缘体(FDSOI)场效应晶体管(FET)。这里描述的GLM代码考虑了直接和陷阱辅助隧道。这项工作表明,陷阱属性和动态可以修改设备静电特性,甚至在确定GLM的程度方面发挥重要作用。

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