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Statistics of Disturb Events in OxRAM Devices - A Phenomenological Model

机译:氧气装置中干扰事件的统计 - 一种现象学模型

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Read disturb (RD) is a key reliability metric for OxRAM devices, more so in the high resistance state (HRS), when small voltages might be sufficient to perturb the oxygen vacancy configuration in the conducting filament that may have undergone "shrinkage" or "rupture" during the RESET sweep. There are very few studies dealing with read disturb phenomena, more so, on its statistical nature. The Weibull distribution seems to be the default choice for time to disturb (t_(DIST)) or voltage to disturb (V_(DIST)) data with no physical reasoning provided. We present here a fundamental derivation of the disturb voltage/time distribution using the percolation cell framework, accounting for the localized electric field distributions and inherent variability in the HRS state vacancy configuration for different switching cycles that play a major role in determining the statistical nature of this phenomenon. The clustering model is shown to be the best choice for fitting the disturb data and this has been verified using several test data published in the literature.
机译:读取打扰(RD)是氧化氧化物器件的关键可靠性度量,在高电阻状态(HRS)中,当小电压可能足以使导电灯丝中的氧空位构造可能已经经过“收缩”或“破裂“在重置扫描期间。在其统计性质上,很少有关于读取扰动现象的研究。 Weibull分布似乎是时间打扰(T_(DIST))或电压打扰的默认选择(V_(DIST))数据,没有提供物理推理。我们在这里介绍了使用渗滤单元框架的干扰电压/时间分布的基本推导,占据了HRS状态空缺配置中的局部电场分布和固有的变化,用于不同的切换周期,在确定统计性质方面发挥了重要作用这个现象。群集模型被证明是拟合干扰数据的最佳选择,这已经使用文献中发布的几个测试数据进行了验证。

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