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基于 ECM 单元的用于存储、逻辑和神经形态应用的 CRS 器件的紧凑建模。

Compact modeling of CRS devices based on ECM cells for memory, logic and neuromorphic applications.

机构信息

Institut für Werkstoffe der Elektrotechnik II, RWTH Aachen University, Germany.

出版信息

Nanotechnology. 2013 Sep 27;24(38):384008. doi: 10.1088/0957-4484/24/38/384008. Epub 2013 Sep 2.

Abstract

Dynamic physics-based models of resistive switching devices are of great interest for the realization of complex circuits required for memory, logic and neuromorphic applications. Here, we apply such a model of an electrochemical metallization (ECM) cell to complementary resistive switches (CRSs), which are favorable devices to realize ultra-dense passive crossbar arrays. Since a CRS consists of two resistive switching devices, it is straightforward to apply the dynamic ECM model for CRS simulation with MATLAB and SPICE, enabling study of the device behavior in terms of sweep rate and series resistance variations. Furthermore, typical memory access operations as well as basic implication logic operations can be analyzed, revealing requirements for proper spike and level read operations. This basic understanding facilitates applications of massively parallel computing paradigms required for neuromorphic applications.

摘要

用于实现用于存储、逻辑和神经形态应用的复杂电路的电阻开关设备的动态物理基模型非常有趣。在这里,我们将电化学金属化(ECM)单元的这种模型应用于互补电阻开关(CRS),这是实现超密集无源交叉阵列的有利器件。由于 CRS 由两个电阻开关器件组成,因此可以使用 MATLAB 和 SPICE 直接应用动态 ECM 模型来对 CRS 进行模拟,从而可以根据扫描速率和串联电阻变化来研究器件行为。此外,可以分析典型的存储访问操作以及基本的蕴涵逻辑操作,从而揭示适当的尖峰和电平读取操作的要求。这种基本理解促进了用于神经形态应用的大规模并行计算范例的应用。

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