通过一种新颖的基于仿真的方法进行电缺陷光谱和可靠性预测

L. Larcher, G. Sereni, A. Padovani, L. Vandelli
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引用次数: 0

摘要

半导体技术的发展需要充分理解器件级的材料含义。这需要将材料的微观/原子特性(例如缺陷)与器件的宏观电气特性联系起来。在这种情况下,我们开发了一种新的方法,由多尺度建模和仿真(MS)软件[1],[2]支持,它允许从电特性测量(I-V, C-V, G-V, BTI,电荷泵浦,噪声,应力)的模拟中提取材料和器件特性,可用于技术开发,新器件的设计和器件可靠性分析,也在统计水平(TDDB,泄漏电流),图1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrical defect spectroscopy and reliability prediction through a novel simulation-based methodology
The semiconductor technology development requires a full understanding of material implications at the device level. This requires connecting the microscopic/atomic properties of the material (e.g. defect) to the macroscopic electrical characteristics of the device. In this scenario, we developed a new methodology, supported by a multi-scale modeling and simulation (MS) software [1], [2], which allows extracting from the simulations of the electrical characterization measurements (I-V, C-V, G-V, BTI, Charge-Pumping, noise, stress) the material and device properties that can be used for the technology development, the design of novel devices and the analysis of the device reliability also at statistical level (TDDB, leakage currents), Fig. 1.
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