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Compact modelling of ferroelectric tunnel memristor and its use for neuromorphic simulation

机译:铁电隧道忆阻器的紧凑建模及其在神经形态模拟中的应用

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摘要

Ferroelectric tunnel memristor (FTM) was recently discovered. Its resistance can be continuously tuned by controlling the growth of domain in ferroelectric tunnel barrier. Experiments show its large OFF/ON resistance ratio (>102) and high operation speed (∼10 ns), providing great potential to build up multi-level storage and neuromorphic circuits. However, the corresponding electrical model for circuit simulation is still lacking. In this Letter, we developed a compact model for a voltage-controlled ferroelectric tunnel memristor based on experimental results and ferroelectric switching dynamics. The memristive behavior of this model was demonstrated by resistance measurements as a function of the amplitude and duration of programming voltage pulses, and the accuracy was validated by the relative good agreement between simulation results and experimental measurement. Our model was used to simulate a FTM-based spike-timing dependent plasticity circuit to show its use in neuromorphic circuits.
机译:最近发现了铁电隧道忆阻器(FTM)。可以通过控制铁电隧道势垒中畴的生长来连续调节其电阻。实验表明,其开/关电阻比大(> 10 2 )和高操作速度(〜10 ns),为建立多层存储和神经形态电路提供了巨大潜力。但是,仍然缺少用于电路仿真的相应电气模型。在这封信中,我们基于实验结果和铁电开关动力学,为压控铁电隧道忆阻器开发了一个紧凑模型。该模型的忆阻行为通过电阻测量证明,它是编程电压脉冲的幅度和持续时间的函数,并且通过仿真结果与实验测量之间的相对良好一致性验证了准确性。我们的模型用于模拟基于FTM的尖峰时序相关可塑性电路,以显示其在神经形态电路中的使用。

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    《Applied Physics Letters》 |2014年第5期|1-5|共5页
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  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
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  • 正文语种 eng
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