A memristive architecture for process variation aware gas sensing and logic operations

Saurabh Khandelwal, Marco Ottavi, Eugenio Martinelli, Abusaleh Jabir

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We propose novel memristive gas sensor architectures that can significantly reduce process and parametric variations in a predictable manner, while improving accuracy and overall power consumption. The proposed architecture can also be configured to realize multifunction logic operations as well as Complementary Resistive Switch with low hardware overhead in the absence of gasses. Our results show that the proposed architecture is significantly immune to process and parametric effects compared to a single sensor and almost unaffected by wire resistance, while offering much higher accuracy and much lower power consumption compared to existing techniques.

Original languageEnglish
Title of host publication2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design (IOLTS)
PublisherIEEE
ISBN (Electronic)9781665433709
DOIs
Publication statusPublished - 26 Jul 2021
Externally publishedYes
Event27th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2021 - Virtual, Online
Duration: 28 Jun 202130 Jun 2021
Conference number: 27

Conference

Conference27th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2021
Abbreviated titleIOLTS 2021
CityVirtual, Online
Period28/06/2130/06/21

Keywords

  • CRS
  • logic
  • memristive magnification
  • memristor
  • process variation
  • sensor
  • wire resistance

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