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分数马库斯-胡什-奇德西-雅科普奇 (Marcus-Hush-Chidsey-Yakopcic) 电流-电压模型用于基于氧化还原的电阻记忆器件
G V Paradezhenko1, D V Prodan1, A A Pervishko1,2
1Skolkovo Institute of Science and Technology, Moscow 121205, Russia. G.Paradezhenko@skoltech.ru.
Physical chemistry chemical physics : PCCP
|December 12, 2023
概括
我们开发了一种新的分数顺序模型,用于电阻切换记忆器件. 这种先进的模型准确地描述了电化学金属化内存的电流电压特性,增强了设备的理解.
科学领域:
- 材料科学 材料科学 材料科学
- 电气工程 电气工程
- 计算物理 计算物理
背景情况:
- 电阻切换内存设备对于下一代电子产品至关重要.
- 对电阻开关行为的准确建模对于设备优化至关重要.
- 现有的模型可能无法完全捕捉到这些设备的复杂动态.
研究的目的:
- 为金属-离子导体-金属电阻开关内存提出一个增强的电路级模型.
- 为了提高准确性,将分数计算纳入状态变量动态中.
- 为了验证模型与来自特定内存设备的实验数据.
主要方法:
- 结合了马库斯-胡什-奇德西电子电流方程与一个分数级雅科普奇方程.
- 引入了对状态变量动态的任意顺序 (0-1) 的分数导数.
- 将模型与电化学金属化记忆装置的电流电压特征数据相匹配.
主要成果:
- 拟议的分数顺序模型在合适实验数据方面表现出高准确性.
- 该模型成功地描述了测试的存储器设备的电流电压特性.
- 包含分数动态增强了模型的描述能力.
结论:
- 分数顺序电路级模型提供了更准确的对电阻切换内存行为表示.
- 这种建模方法可以帮助设计和优化电化学金属化内存设备.
- 分数计算为描述固态设备中复杂动态提供了一个强大的工具.
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