基于二维MOO3层的多位电阻随机访问内存
Kai Liu1, Wengui Jiang1, Liang Zhou1
1Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface Science, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
Nanomaterials (Basel, Switzerland)
|July 12, 2025
概括
二维层状金属氧化物为神经形态计算提供了先进的电阻随机访问存储器 (RRAM). 石墨烯集成显著改善了RRAM保留时间,使强大的内存计算应用程序成为可能.
科学领域:
- 材料科学 材料科学 材料科学
- 纳米技术纳米技术
- 电气工程 电气工程
背景情况:
- 二维 (2D) 材料为电阻随机存储器 (RRAM) 提供了独特的优势,包括原子尺寸厚度和超平面.
- 2D层金属氧化物将RRAM的优势与传统金属氧化物的低成本和稳定性相结合.
- 对于推进神经形态计算和内存计算架构而言,RRAM至关重要.
研究的目的:
- 使用多步干转移过程制造和描述基于2Dα-MoO3的RRAM设备.
- 调查电极材料对RRAM性能的影响,特别是保留时间.
- 为了增强基于二维材料的RRAM的数据保留能力,用于实际应用.
主要方法:
- 使用2D α-MoO3作为电阻开关层的Pd-MoO3-Ag RRAM设备的制造.
- 电阻切换测试用于评估操作稳定性,写入电压,切换比率和多位存储.
- 通过用石墨烯取代Pd电极来改善保留时间,开发了一个Gr-MoO3-Ag异构结构.
主要成果:
- 该Pd-MoO3-Ag RRAM设备表现出卓越的操作稳定性,低写电压 (~0.5V),高开关率 (>10^6),以及多位存储 (≥3位).
- 最初的装置表现出约2000秒的有限保留时间.
- Gr-MoO3-Ag异构的保留时间提高了五倍,超过10^4秒.
结论:
- 控制2D材料和电阻切换层的类型和厚度是优化RRAM性能的关键.
- 作为电极材料的石墨烯集成显著提高了基于二维材料的RRAM的数据保留能力.
- 这些发现为开发具有高开/关比和长期数据保留的RRAM设备铺平了道路,用于先进的计算应用.
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