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Intrinsic Data Retention in Nanoscaled Phase-Change Memories—Part I: Monte Carlo Model for Crystallization and Percolation

机译:纳米尺度相变存储器中的固有数据保留—第一部分:结晶和渗滤的蒙特卡洛模型

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摘要

The amorphous phase of chalcogenide material in phase-change memories (PCMs) is subjected to spontaneous and thermal-activated crystallization. This represents a critical reliability issue and has to be carefully investigated and modeled for physically based projection of retention failure up to ten years. A new three-dimensional percolation model describing the statistical crystallization behavior in an intrinsic PCM cell for the amorphous state is developed. With this physical model, the authors were able to calculate the resistance evolution with time in the cell and the statistical distribution of retention failure times in a cell array. From the impact of geometrical parameters on the cell retention performance, PCM design guidelines to minimize data-loss effects can be obtained. The model allows the evaluation of nucleation and growth parameters and statistical extrapolations of intrinsic retention failure, which will be shown in Part 2.
机译:相变存储器(PCM)中硫族化物材料的非晶相经历了自发和热激活的结晶。这是一个至关重要的可靠性问题,必须针对长达十年的基于物理的保留失效预测进行仔细研究和建模。建立了一个新的三维渗流模型,该模型描述了非晶态本征PCM单元中的统计结晶行为。利用这种物理模型,作者能够计算出电池中电阻随时间的变化以及电池阵列中保留失效时间的统计分布。通过几何参数对细胞保留性能的影响,可以获得使数据丢失影响最小化的PCM设计指南。该模型允许评估成核和生长参数以及固有保留失效的统计推断,这将在第2部分中显示。

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