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Statistical modeling of electrochemical metallization memory cells

机译:电化学金属化存储单元的统计建模

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Redox-based resistive switching devices have attracted great interest for future nonvolatile memory application. The electrochemical metallization memory (ECM) cell is one variant of these devices. One issue is the variability of the resistive switching in ECM cells. Thus, statistical models that capture the variability of ECM cells are required to enable circuit design. This works presents a statistical model for the resistive switching in ECM cells that is based on the electrochemical driven growth and dissolution of a metallic filament. The simulation results are validated using experimental data.
机译:基于氧化还原的电阻式开关器件对未来的非易失性存储器应用引起了极大的兴趣。电化学金属化存储(ECM)单元是这些设备的一种变体。一个问题是ECM单元中电阻切换的可变性。因此,需要能够捕获ECM单元变异性的统计模型来进行电路设计。这项工作提出了一种基于电化学驱动的金属丝生长和溶解的ECM电池电阻转换统计模型。仿真结果使用实验数据进行了验证。

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