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Fault Modeling and Simulation of Memristor based Gas Sensors

机译:基于忆阻的气体传感器的故障建模与仿真

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Memristors are an attractive option for use in future architectures due to their non-volatility, high density and low power operation. Gas sensing is one of the proposed application of memristive devices. In spite of these advantages, memristors are susceptible to defect densities due to the nondeterministic nature of nano-scale fabrication. In this paper, a novel spice memristor model incorporating fault models that emulates the gas sensing behaviour with/without faults is developed for simulation and integration with design automation tools. Our simulation results show that the proposed non-linear model detects the presence of the oxidising/reducing gas and analyses the defects/faults affecting the functionality of the sensor.
机译:由于它们的非波动性,高密度和低功率运行,忆失器是未来架构中使用的有吸引力的选择。气体传感是铭文的应用程序之一。尽管存在这些优点,由于纳米级制造的非明确性,忆阻器易于缺陷密度。在本文中,开发了一种新的Spice Memristor模型,其包括模拟带有/没有故障的气体传感行为的故障模型,用于与设计自动化工具进行仿真和集成。我们的仿真结果表明,所提出的非线性模型检测氧化/还原气体的存在,并分析影响传感器功能的缺陷/故障。

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