论文标题
了解PR0.7CA0.3MNO3 RRAM中电阻变化的位置
Understanding the Location of Resistance Change in the Pr0.7Ca0.3MnO3 RRAM
论文作者
论文摘要
基于PR1-XCAXMNO3(PCMO)的电阻随机访问记忆(RRAM)在大规模记忆和神经形态应用中具有吸引力,因为它是非丝状的,面积可伸缩的,并且具有多个阻力状态,并具有出色的耐力和保留率。与反应性电极接触时,PCMO RRAM表现出可扩展的电阻开关。基于接口氧化还原反应的电阻切换是电的。但是,是否通过部分(接近界面)或整个散装发生电阻变化在很大程度上是有争议的。本质上,两端设备无法提供PCMO RRAM中电阻变化位置的直接证据。在本文中,我们提出并在实验上证明了一种新型的三端RRAM设备,其中将薄薄的第三末端(〜20nm)侧面插入典型的PCMO厚度的典型垂直2端子RRAM厚度约为80nm。使用3T -RRAM方法,我们表明电阻变化在很大程度上发生在上体(接近反应性电极界面) - 高度不对称。然而,它具有基于SCLC的抗性变化,并具有对称IV特征。这是第一次通过RRAM的第三端子启用界面氧化还原和大量的基于SCLC的电阻变化为相关和一致。这样的研究使对设备有批判性理解,该设备可以使PCMO RRAM的设计和开发用于内存和神经形态计算应用程序。
Pr1-xCaxMnO3 (PCMO) based resistance random access memory (RRAM) is attractive in large scale memory and neuromorphic applications as it is non-filamentary, area scalable and has multiple resistance states along with excellent endurance and retention. The PCMO RRAM exhibit area scalable resistive switching when in contact with the reactive electrode. The interface redox reaction based resistance switching is observed electrically. Yet, whether resistance change occurs through partial (close to interface) or entire bulk is largely debated. Essentially, a two-terminal device is unable to provide direct evidence of the resistance change location in the PCMO RRAM. In this paper, we propose and experimentally demonstrate a novel three-terminal RRAM device in which a thin third terminal (~20nm) is inserted laterally in a typical vertical 2 terminal RRAM device of PCMO thickness of ~80nm. Using the 3T-RRAM method, we show that resistance change occurs largely at the upper bulk (near reactive electrode interface) - which is highly asymmetric. Yet it produces SCLC based resistance change with symmetric IV characteristics. It is the first time that an interface redox and bulk SCLC based resistance change has been experimentally shown as correlated and consistent - enabled by the 3rd terminal of the RRAM. Such a study enables a critical understanding of the device which enables the design and development of PCMO RRAM for memory and neuromorphic computing applications.