A mu-controller-based system for interfacing selectorless RRAM crossbar arrays
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 278
- Type
- D - Journal article
- DOI
-
10.1109/TED.2015.2433676
- Title of journal
- IEEE Transactions on Electron Devices
- Article number
- -
- First page
- 2190
- Volume
- 62
- Issue
- 7
- ISSN
- 0018-9383
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
10.1109/TED.2015.2433676
- 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
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduces the first bespoke selectorless memristor array characterisation instrument and methodology. The instrument and algorithms described have been commercialised by ArC Instruments Ltd as ArC ONE™, the de-facto standard in memristive array characterisation. Over 60 ArC ONE™ instruments are used in research labs around the world; measurements obtained using ArC ONE™ have greatly contributed to the rapid growth in memristor research. Data obtained using ArC ONE™ has been used in more than 100 publications at Imperial and Southampton since 2015, underpinning several successful UK and EU research funding applications by the authors.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -