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Fault Modeling and Simulation of Memristor based Gas Sensors

Khandelwal, Saurabh, Bala, Anu ORCID logoORCID: https://orcid.org/0009-0000-6242-5248, Gupta, Vishal, Ottavi, Marco, Martinelli, Eugenio and Jabir, Abusaleh (2019) Fault Modeling and Simulation of Memristor based Gas Sensors. In: 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS). IEEE

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Abstract

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.

Item Type: Book Section
Status: Published
DOI: 10.1109/iolts.2019.8854459
Subjects: T Technology > T Technology (General)
School/Department: London Campus
URI: https://ray.yorksj.ac.uk/id/eprint/13536

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