Physical model simulations of Hf oxide resistive random access memory device with a spike electrode structure

IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Modelling and Simulation in Materials Science and Engineering Pub Date : 2023-10-13 DOI:10.1088/1361-651x/ad0315
Fei Yang, Bingkun Liu, Zijian He, Shilong Lou, Wentao Wang, Bo Hu, Duogui Li, Shuo Jiang
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Abstract

Abstract Resistive memory has become an attractive new memory type due to its outstanding performance. Oxide-based resistive random access memory (RRAM) is one type of widely used memory whose resistance can be transformed by applying current or voltage. Memristors are widely used in various kinds of memories and neural morphological calculations. Therefore, it is of vital importance to understand the physical change mechanism of an internal memristor under stimulation to improve electrical properties of the memristor. In our studies, a device model based on Hf oxide was proposed, then completely processes of the forming, reset and set were simulated. Meantime, the generation and recombination of oxygen vacancies were considered in all the processes, making the simulation more practical. In addition, a spike electrode structure was applied, a gathering electric field can be generated in the oxide layer so that the improved device has a faster forming voltage, lower forming current and lower instantaneous power consumption in the ON state. Finally, the effects of spike electrode length on the forming process were studied, the research results reveal that a longer probe electrode can engage a lower forming voltage and accelerate the formation of conductive filaments.
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尖峰电极结构氧化铪电阻随机存取存储器的物理模型模拟
电阻式存储器以其优异的性能成为一种极具吸引力的新型存储器类型。基于氧化物的电阻式随机存取存储器(RRAM)是一种应用广泛的存储器,其电阻可以通过施加电流或电压进行变换。忆阻器广泛应用于各种记忆和神经形态计算。因此,了解内部忆阻器在刺激作用下的物理变化机制,对提高忆阻器的电学性能至关重要。在本研究中,提出了一种基于氧化Hf的器件模型,并对成形、复位和复位的完整过程进行了仿真。同时,在各个过程中都考虑了氧空位的生成和重组,使模拟更具有实用性。此外,采用尖峰电极结构,在氧化层中产生聚集电场,使改进后的器件具有更快的形成电压、更低的形成电流和更低的导通状态瞬时功耗。最后,研究了尖峰电极长度对成形过程的影响,研究结果表明,较长的探针电极可以吸收较低的成形电压,加速导电细丝的形成。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
96
审稿时长
1.7 months
期刊介绍: Serving the multidisciplinary materials community, the journal aims to publish new research work that advances the understanding and prediction of material behaviour at scales from atomistic to macroscopic through modelling and simulation. Subject coverage: Modelling and/or simulation across materials science that emphasizes fundamental materials issues advancing the understanding and prediction of material behaviour. Interdisciplinary research that tackles challenging and complex materials problems where the governing phenomena may span different scales of materials behaviour, with an emphasis on the development of quantitative approaches to explain and predict experimental observations. Material processing that advances the fundamental materials science and engineering underpinning the connection between processing and properties. Covering all classes of materials, and mechanical, microstructural, electronic, chemical, biological, and optical properties.
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