Electromagnetic simulations of a neuromorphic hardware using PEEC and memristor SPICE models

Lee, Wooryong; Park, Junsik; Kim, Jingook

doi:10.1109/edaps.2017.8276969

Cited by 3 publications

(1 citation statement)

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“…It is worth noting that with the advancement of electron science and technology, the number of radio-using devices is increasing, the space is filled with various intentional and unintentional electromagnetic wave signals that ramify and overlap in the time domain, frequency domain, and space domain [ 23 ], which are serious threats to the reliability of highly integrated and miniaturized memristive systems. Previous studies have focused on the reliability issues of memristors, including endurance, retention deterioration, read/write noise [ 24 ], and signal integrity issues [ 25 , 26 , 27 , 28 ], which may be caused by manufacturing processes, read/write operations, structure, or size of the memristors. However, the interference effects of external EMI on memristors have rarely been considered.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic Interference Effects of Continuous Waves on Memristors: A Simulation Study

Ma¹,

Man²,

Zhang

et al. 2022

Sensors

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As two-terminal passive fundamental circuit elements with memory characteristics, memristors are promising devices for applications such as neuromorphic systems, in-memory computing, and tunable RF/microwave circuits. The increasingly complex electromagnetic interference (EMI) environment threatens the reliability of memristor systems. However, various EMI signals’ effects on memristors are still unclear. This paper selects continuous waves (CWs) as EMI signals. It provides a deeper insight into the interference effect of CWs on the memristor driven by a sinusoidal excitation voltage, as well as a method for investigating the EMI effect of memristors. The optimal memristor model is obtained by the exhaustive traversing of the possible model parameters, and the interference effect of CWs on memristors is quantified based on this model and the proposed evaluation metrics. Simulation results indicate that CW interference may affect the switching time, dynamic range, nonlinearity, symmetry, time to the boundary, and variation of memristance. The specific interference effect depends on the operating mode of the memristor, the amplitude, and the frequency of the CW. This research provides a foundation for evaluating EMI effects and designing electromagnetic protection for memristive neuromorphic systems.

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