Efficient Sensing Approaches for High-density Memristor Sensor Array
- Submitting institution
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Oxford Brookes University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 185739203
- Type
- D - Journal article
- DOI
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10.1007/s10825-018-1176-y
- Title of journal
- Journal of Computational Electronics
- Article number
- -
- First page
- 1285
- Volume
- 17
- Issue
- -
- ISSN
- 1569-8025
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This groundbreaking work shows for the first time the use of memristive devices as arrays of chemical sensors. The idea is to ultimately use the devices and architecture for sensing, storage, and processing all within the same array. Work is underway on the latter. This was a collaboration between Oxford Brookes University, University of Rome, Italy and IIT Putna India. The first author was a PhD student and now works with Infineon Tech. The work led to a funded project with the Leverhulme Trust (No.RPG-2017-344), which is investigating self-reparable memristive gas sensors. Multiple patents exist (No.20190227017,UK1914221.5,UK1905392.5) on the core IP.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -