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首页> 外文期刊>Japanese journal of applied physics >Fundamental roles of extreme-value distributions in dielectric breakdown and memory applications (minimum-value versus maximum-value statistics)
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Fundamental roles of extreme-value distributions in dielectric breakdown and memory applications (minimum-value versus maximum-value statistics)

机译:极值分布在介电故障和内存应用中的基本作用(最小值与最大值统计)

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摘要

In this paper, a thorough review of minimum- and maximum-value statistical distributions is provided. Using the Weibull model (statistics of minima) and the Gumbel model (statistics of maxima) along with the respective scaling properties of their scale-factor and distribution-percentile with device area (size), the application of these two types of extreme-value distributions to dielectric breakdown (BD) and memory operations is discussed. In the case of dielectric breakdown, the minimum-value distribution (the Weibull model) provides an indispensable tool to establish a valid voltage/field acceleration model from experimental perspectives. On the other hand, recent advances in the introduction of maximum-value distribution (the Gumbel model) overcomes the shortcomings of the conventional practice of adopting the normal distribution to characterize memory functional operations and provides much needed mathematical rigor and physical insight particularly for the rapid growing field of resistive random-access memory devices. (C) 2020 The Japan Society of Applied Physics
机译:在本文中,提供了对最小值和最大值统计分布的彻底审查。使用Weibull模型(MILEMA的统计)和Gumbel模型(Maxima的统计)以及其刻度因子和分布百分位的相应缩放属性,与设备区域(大小),应用这两种类型的极值讨论了介电击穿(BD)和存储器操作的分布。在介电击穿的情况下,最小值分布(Weibull模型)提供了一种不可或缺的工具,用于建立从实验视角的有效电压/场加速模型。另一方面,近期引入最大值分布的进步(Gumbel模型)克服了采用正常分布的传统实践的缺点,以表征内存功能操作,并为快速提供了很多需要的数学严格和身体洞察力。越来越多的电阻随机存取存储器设备领域。 (c)2020日本应用物理学会

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