粘土诱导的基于植物提取物的 WORM 和 RRAM 性能增强,可用于可持续数据存储和神经形态计算应用

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Farhana Yasmin Rahman, Santanu Chakraborty, Rahul Deb, Md. Jashim Uddin, Debajyoti Bhattacharjee, Khuloud A. Alibrahim, Abdullah N. Alodhayb, Syed Arshad Hussain
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引用次数: 0

摘要

基于天然植物材料的存储器件具有从非易失性存储器到神经形态计算的广泛应用,因此一直备受关注。我们利用当地植物 Nymphaea nouchali(其英文名称为睡莲(WL))的叶子设计了一种配置为 Au/WL/ITO 的电阻式存储器件。该器件具有存储器窗口(∼102)、器件良率(∼55%)、读取耐久性(8000 次)和数据保留时间(∼500 秒),表现出 "一次写入,多次读取"(WORM)特性。在活性层中加入合成粘土矿物皂石和 WL 后,该器件(Au/WL+皂石/ITO)除了表现出可靠的电阻式随机存取存储器(RRAM)特性外,还表现出基于测量协议的 WORM 特性。在基于皂石的器件中,器件性能显著提高,保留时间更长(长达 10 年),存储窗口更大(104),器件良率更高(88%),读取耐久性更高(10 000 次)。此外,还对 RRAM 器件周期间的变化进行了研究。这些存储器件的传导机制主要是空间电荷有限传导、肖特基发射和导电丝形成。除此之外,为了研究神经形态特性,还研究了 RRAM 器件的学习和遗忘特性(电位和抑制)等初步规则。此外,还通过改变脉冲宽度、脉冲振幅和脉冲间隔研究了人工突触的可塑性。研究结果表明,这些可生物降解和生态友好型器件为可持续电子技术提供了更广阔的前景,包括 RRAM 和 WORM 存储器应用以及神经形态计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Clay Induced Performance Enhancement of a Plant Extract-Based WORM and RRAM for Sustainable Data Storage and Neuromorphic Computing Applications

Clay Induced Performance Enhancement of a Plant Extract-Based WORM and RRAM for Sustainable Data Storage and Neuromorphic Computing Applications
Natural plant-material-based memory devices have been in the spotlight due to their versatile applications ranging from nonvolatile memory to neuromorphic computations. Locally available plant Nymphaea nouchali, whose vernacular English name is water lily (WL), leaves were used to design a resistive memory device having configuration Au/WL/ITO. The device exhibited write-once-read-many (WORM) behavior with memory window (∼102), device yield (∼55%), read endurance (8000 times), and data retention (∼500 s). With the incorporation of synthetic clay mineral Laponite along with WL in the active layer, the device (Au/WL+Laponite/ITO) exhibited reliable resistive random-access memory (RRAM) behavior in addition to WORM based on the measurement protocol. In the Laponite-based device, the device performances improved significantly with higher retention time (up to 10 years), larger memory window (104), greater device yield (88%) and higher read endurance (10 000 times). The cycle-to-cycle variability of the RRAM device has also been studied. The conduction mechanism of these memory devices is dominated by space charge limited conduction, Schottky emission, and conducting filament formation. Apart from that, in order to investigate the neuromorphic properties, several preliminary rules like the learning and forgetting nature of the RRAM device (potentiation and depression) have also been studied. Moreover, the plasticity of the artificial synapse has been studied by varying the pulse width, pulse amplitude, and pulse interval. The results suggest that these biodegradable as well as eco-friendly devices provide a greater prospective toward the sustainable electronics with RRAM and WORM memory applications as well neuromorphic computation.
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CiteScore
7.20
自引率
4.30%
发文量
567
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