Statistical modeling of reliability and scaling projections for flash memories

D. Ielmini, A. Spinelli, A. Lacaita, A. Modelli
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引用次数: 44

Abstract

A new physically-based model for reliability analysis of flash memories is presented. The model provides a quantitative description of the distribution of the stress-induced leakage current (SILC) in large memory arrays, considering the statistics of the defects responsible for the trap-assisted tunneling (TAT) current. Simulation results are in good agreement with SILC statistics over oxide thicknesses of 6.5, 8.8 and 9.7 nm. The model can be used to quantitatively evaluate the failure rate under different conditions and assess the trade-off between oxide thinning and device reliability. The relationship between tunnel oxide scalability and defect concentration is also quantitatively assessed.
快闪记忆体可靠性和标度投影的统计模型
提出了一种新的基于物理的闪存可靠性分析模型。考虑到陷阱辅助隧道(TAT)电流缺陷的统计,该模型提供了大型存储阵列中应力诱导泄漏电流(SILC)分布的定量描述。在6.5、8.8和9.7 nm的氧化层厚度上,模拟结果与SILC统计数据非常吻合。该模型可用于定量评估不同条件下的故障率,并评估氧化物稀释与器件可靠性之间的权衡关系。本文还定量评价了隧道氧化物可扩展性与缺陷浓度之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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