Fault Modeling and Simulation of Memristor based Gas Sensors

S. Khandelwal; A. Bala; V. Gupta; M. Ottavi; E. Martinelli; A. Jabir

doi:10.1109/IOLTS.2019.8854459

Fault Modeling and Simulation of Memristor based Gas Sensors

S. Khandelwal, A. Bala, V. Gupta, M. Ottavi, E. Martinelli, A. Jabir

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

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.

Original language	English
Title of host publication	2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019
DOIs	https://doi.org/10.1109/IOLTS.2019.8854459
Publication status	Published - 2019
Externally published	Yes
Event	25th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2019 - Rhodes, Greece Duration: 1 Jul 2019 → 3 Jul 2019 Conference number: 25

Conference

Conference	25th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2019
Abbreviated title	IOLTS 2019
Country/Territory	Greece
City	Rhodes
Period	1/07/19 → 3/07/19

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10.1109/IOLTS.2019.8854459

Cite this

@inproceedings{eb5520c4b87f440e8395facebfa52c81,

title = "Fault Modeling and Simulation of Memristor based Gas Sensors",

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.",

author = "S. Khandelwal and A. Bala and V. Gupta and M. Ottavi and E. Martinelli and A. Jabir",

year = "2019",

doi = "10.1109/IOLTS.2019.8854459",

language = "English",

booktitle = "2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019",

note = "25th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2019, IOLTS 2019 ; Conference date: 01-07-2019 Through 03-07-2019",

}

Khandelwal, S, Bala, A, Gupta, V, Ottavi, M, Martinelli, E & Jabir, A 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 2019. 25th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2019, Rhodes, Greece, 1/07/19. https://doi.org/10.1109/IOLTS.2019.8854459

TY - GEN

T1 - Fault Modeling and Simulation of Memristor based Gas Sensors

AU - Khandelwal, S.

AU - Bala, A.

AU - Gupta, V.

AU - Ottavi, M.

AU - Martinelli, E.

AU - Jabir, A.

N1 - Conference code: 25

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85073725480&partnerID=MN8TOARS

U2 - 10.1109/IOLTS.2019.8854459

DO - 10.1109/IOLTS.2019.8854459

M3 - Conference contribution

BT - 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019

T2 - 25th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2019

Y2 - 1 July 2019 through 3 July 2019

ER -

Fault Modeling and Simulation of Memristor based Gas Sensors

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