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A Collective Study on Modeling and Simulation of Resistive Random Access Memory

机译:电阻式随机存取存储器建模与仿真的集体研究

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摘要

In this work, we provide a comprehensive discussion on the various models proposed for the design and description of resistive random access memory (RRAM), being a nascent technology is heavily reliant on accurate models to develop efficient working designs and standardize its implementation across devices. This review provides detailed information regarding the various physical methodologies considered for developing models for RRAM devices. It covers all the important models reported till now and elucidates their features and limitations. Various additional effects and anomalies arising from memristive system have been addressed, and the solutions provided by the models to these problems have been shown as well. All the fundamental concepts of RRAM model development such as device operation, switching dynamics, and current-voltage relationships are covered in detail in this work. Popular models proposed by Chua, HP Labs, Yakopcic, TEAM, Stanford/ASU, Ielmini, Berco-Tseng, and many others have been compared and analyzed extensively on various parameters. The working and implementations of the window functions like Joglekar, Biolek, Prodromakis, etc. has been presented and compared as well. New well-defined modeling concepts have been discussed which increase the applicability and accuracy of the models. The use of these concepts brings forth several improvements in the existing models, which have been enumerated in this work. Following the template presented, highly accurate models would be developed which will vastly help future model developers and the modeling community.
机译:在这项工作中,我们对电阻式随机存取存储器(RRAM)的设计和描述中提出的各种模型进行了全面的讨论,这是一项新兴技术,在很大程度上依赖于准确的模型来开发有效的工作设计并标准化其在整个设备上的实现。这篇综述提供了有关为RRAM设备开发模型所考虑的各种物理方法的详细信息。它涵盖了迄今为止报告的所有重要模型,并阐明了它们的功能和局限性。已经解决了忆阻系统引起的各种其他影响和异常,并且还显示了模型针对这些问题提供的解决方案。这项工作详细介绍了RRAM模型开发的所有基本概念,例如设备操作,开关动力学和电流-电压关系。由Chua,HP Labs,Yakopcic,TEAM,Stanford / ASU,Ielmini,Berco-Tseng等提出的流行模型已在各种参数上进行了广泛的比较和分析。还介绍和比较了窗口功能(如Joglekar,Biolek,Prodromakis等)的工作和实现。讨论了新的定义明确的建模概念,这些概念增加了模型的适用性和准确性。这些概念的使用对现有模型进行了一些改进,这些改进已在本文中进行了列举。按照介绍的模板,将开发高度准确的模型,这将极大地帮助未来的模型开发人员和建模社区。

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