Computing with carbon nanotubes: optimization of threshold logic gates using disordered nanotube/polymer composites
- Submitting institution
-
University of Durham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 96188
- Type
- D - Journal article
- DOI
-
10.1063/1.4915343
- Title of journal
- Journal of Applied Physics
- Article number
- 134903
- First page
- -
- Volume
- 117
- Issue
- 13
- ISSN
- 00218979
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
https://doi.org/10.1063/1.4915343
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
7
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper reports pioneering research at the interface between materials, Engineering and Computer Science. It demonstrates that materials can be trained and evolved to perform computational tasks. This contribution was highlighted in a press release by the American Institute of Physics (www.aip.org/publishing/journal-highlights/carbon-nanotube-computing). A dissemination YouTube video was published without our knowledge (www.youtube.com/watch?v=g9q3PmTtc2o). This work was also highlighted in various electronic portals: Nanotube Circuits Learn Functions (EE Times); Durham researchers explore evolutionary electronics (The Engineer); Evolution-in-materio: Carbon Nanotube Computing? (Scientific Computing); Researchers use evolutionary approach to create unconventional components (New Electronics).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
