基于二硫化钼的二维非易失性电阻开关器件中电流扫描测量和遵从性电流调制的多电阻状态理解

Xiaohan Wu, Ruijing Ge, D. Akinwande, Jack C. Lee
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引用次数: 1

摘要

各种二维材料,如氧化石墨烯、溶液处理或相变过渡金属二硫族化合物(TMDs)、降解黑磷和多层六方氮化硼(h-BN)[1 - 5],都有报道显示出非挥发性电阻切换(NVRS)现象,其中电阻可以通过外部电偏压在高电阻状态(HRS)和低电阻状态(LRS)之间可逆切换,并在没有电源的情况下保持。最近,我们报道了在单层TMDs和h-BN原子电阻器(原子薄纳米材料中的忆阻效应)中观察到的NVRS具有无形成特性、大的通断电流比(可达10.7)和快的开关速度(< 15 ns)[6 - 8]。在这里,为了研究二维单层中的开关机制,我们引入了一种新的电流扫描电表征方法来说明隐藏在常用电压扫描曲线中的详细信息,显示了SET过程中的多个过渡步骤。此外,在电压扫描测量中,通过改变SET顺应电流,可以获得5个数量级范围内的多个电阻状态。这些结果为之前报道的二维原子电阻[8]的电导桥模型提供了有力的证据,并使其进一步应用于多比特数据存储和类似物的神经形态计算。
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Understanding of Multiple Resistance States by Current-sweep Measurement and Compliance Current Modulation in 2D MoS2-based Non-volatile Resistance Switching Devices
Various two-dimensional materials, such as graphene oxide, solution-processed or phase-change transitional metal dichalcogenides (TMDs), degraded black phosphorus and multilayer hexagonal boron nitride (h-BN) [ 1 - 5 ], have been reported to exhibit non-volatile resistance switching (NVRS) phenomenon, in which the resistance can be reversibly switched between a high resistance state (HRS) and a low resistance state (LRS) through external electrical bias and maintained without power supply. Recently, we reported the observation of NVRS in single-layer TMDs and h-BN atomristors (memristor effect in atomically thin nanomaterials) with forming-free characteristic, large on/off current ratio (up to 10 7 ) and fast switching speed (< 15 ns) [ 6 - 8 ]. Here, to investigate the switching mechanisms in the 2D monolayers, we introduced a new electrical characterization method by current sweeping to illustrate the detailed information hidden in the commonly used voltage-sweep curves, showing multiple transition steps in the SET process. Moreover, by varying the SET compliance current in voltage-sweep measurement, multiple resistance states can be obtained with a range of five orders of magnitude. These results provide strong evidence for the previously reported conductive-bridge-like model of 2D atomristors [8] , and enable further applications in multi-bit data storage and analog-like neuromorphic computing.
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