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含氧非晶态碳纳米器件中的忆阻效应。

Memristive effects in oxygenated amorphous carbon nanodevices.

机构信息

Centre for Graphene Science, CEMPS, University of Exeter, Exeter EX4 4QF, United Kingdom.

出版信息

Nanotechnology. 2018 Jan 19;29(3):035201. doi: 10.1088/1361-6528/aa9a18. Epub 2017 Dec 13.

DOI:10.1088/1361-6528/aa9a18
PMID:29235441
Abstract

Computing with resistive-switching (memristive) memory devices has shown much recent progress and offers an attractive route to circumvent the von-Neumann bottleneck, i.e. the separation of processing and memory, which limits the performance of conventional computer architectures. Due to their good scalability and nanosecond switching speeds, carbon-based resistive-switching memory devices could play an important role in this respect. However, devices based on elemental carbon, such as tetrahedral amorphous carbon or ta-C, typically suffer from a low cycling endurance. A material that has proven to be capable of combining the advantages of elemental carbon-based memories with simple fabrication methods and good endurance performance for binary memory applications is oxygenated amorphous carbon, or a-CO . Here, we examine the memristive capabilities of nanoscale a-CO devices, in particular their ability to provide the multilevel and accumulation properties that underpin computing type applications. We show the successful operation of nanoscale a-CO memory cells for both the storage of multilevel states (here 3-level) and for the provision of an arithmetic accumulator. We implement a base-16, or hexadecimal, accumulator and show how such a device can carry out hexadecimal arithmetic and simultaneously store the computed result in the self-same a-CO cell, all using fast (sub-10 ns) and low-energy (sub-pJ) input pulses.

摘要

基于电阻式随机存取存储器(忆阻器)的计算技术近年来取得了很大的进展,为解决冯·诺依曼瓶颈问题(即计算和存储分离,限制了传统计算机架构的性能)提供了一条有吸引力的途径。由于其良好的可扩展性和纳秒级的开关速度,基于碳的电阻式随机存取存储器器件在这方面可能发挥重要作用。然而,基于元素碳的器件,如四面体非晶碳或 ta-C,通常循环耐久性较差。一种已被证明能够结合元素碳基存储器的优点、具有简单的制造方法和良好的二进制存储器应用耐久性的材料是含氧非晶碳或 a-CO。在这里,我们研究了纳米级 a-CO 器件的忆阻特性,特别是它们提供多级和积累特性的能力,这些特性是计算类型应用的基础。我们展示了纳米级 a-CO 存储单元在存储多级状态(这里为 3 级)和提供算术累加器方面的成功操作。我们实现了一个基于 16 进制(十六进制)的累加器,并展示了这种设备如何执行十六进制算术,并同时将计算结果存储在同一个 a-CO 单元中,所有操作都使用快速(小于 10 ns)和低功耗(小于 1 pJ)的输入脉冲。

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引用本文的文献

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Controlling Cu Migration on Resistive Switching, Artificial Synapse, and Glucose/Saliva Detection by Using an Optimized AlO Interfacial Layer in a-CO -Based Conductive Bridge Random Access Memory.通过在基于非晶氧化铟锡(a-CO)的导电桥随机存取存储器中使用优化的氧化铝(AlO)界面层来控制电阻开关、人工突触以及葡萄糖/唾液检测中的铜迁移。
ACS Omega. 2020 Mar 17;5(12):7032-7043. doi: 10.1021/acsomega.0c00795. eCollection 2020 Mar 31.