使用碳纳米管电极的 RRAM 建模与仿真

IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Da-Wei Wang;Jia-He Zhu;Yi-Fan Liu;Gaofeng Wang;Wen-Sheng Zhao
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引用次数: 0

摘要

带有金属碳纳米管电极的电阻式随机存取存储器(CNT-RRAM)具有功耗低、结温低的特点。在这项工作中,介绍了在微观层面描述 CNT-RRAM 运行的物理模型和紧凑模型。在基于物理的模型中,氧空位的迁移由完全耦合的氧传输、电流连续性和热传导方程来描述,并利用适当的基于有限元的数值求解器来解决。通过比较模拟的 I-V 曲线和实验结果,验证了物理模型的准确性。随后,开发了一个由 CNT-RRAM 和垂直 MOSFET 开关组成的 1T1R 存储单元结构,并提出了一个简洁的模型来描述其电气特性。紧凑型模型得到的 I-V 曲线与实验数据吻合良好。结果表明,所提出的模型可以准确地解释 CNT-RRAM 的设定/复位特性,这将有利于器件和电路的优化设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Simulation of RRAM With Carbon Nanotube Electrode
The resistive random access memory with metallic carbon nanotube (CNT-RRAM) electrode possesses low power consumption and low junction temperature. In this work, both physical and compact models describing the operations of CNT-RRAM at the microscopic level are presented. In the physics-based model, the migration of oxygen vacancies is described by fully coupled oxygen transport, current continuity, and heat conduction equations, with a proper finite element based numerical solver utilized to solve them. The accuracy of the physical model is verified by comparing the simulated I - V curves with experimental results. After that, a 1T1R memory cell architecture composing of the CNT-RRAM and a vertical MOSFET switch is developed, and a compact model is proposed to characterize its electric properties. The I - V curves obtained by the compact model agree well with experimental data. The results indicate that the proposed models can accurately account for the set/reset characteristics of CNT-RRAM, which would be beneficial for the optimal design of devices and circuits.
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来源期刊
IEEE Transactions on Nanotechnology
IEEE Transactions on Nanotechnology 工程技术-材料科学:综合
CiteScore
4.80
自引率
8.30%
发文量
74
审稿时长
8.3 months
期刊介绍: The IEEE Transactions on Nanotechnology is devoted to the publication of manuscripts of archival value in the general area of nanotechnology, which is rapidly emerging as one of the fastest growing and most promising new technological developments for the next generation and beyond.
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