细丝RRAM的定量耐久性失效模型

Robin Degraeve, A. Fantini, P. Roussel, L. Goux, A. Costantino, C. Y. Chen, S. Clima, B. Govoreanu, D. Linten, Aaron Thean, Malgorzata Jurczak
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引用次数: 17

摘要

在沙漏模型的框架下,对长丝RRAM的寿命进行了建模。可以区分出两种失效模式:(i)随机集失效是由底部电极附近的缺陷产生引起的,(ii)电阻窗的变化是由t激活的灯丝空位数量的变化控制的。底部电极/氧化物界面优化是提高耐久性的主要旋钮。该模型可以进行定量和预测的耐久性模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative endurance failure model for filamentary RRAM
Endurance in filamentary RRAM is modeled in the framework of the hourglass model. Two failure modes are distinguished: (i) stochastic set failure is caused by defect generation near the bottom electrode, and (ii) resistive window changes are controlled by T-activated changes of the number of filament vacancies. Bottom electrode/oxide interface optimization is the prime knob for endurance improvement. This model enables quantitative and predictive endurance simulations.
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