Chemically specific identification of carbon in XPS imaging using Multivariate Auger Feature Imaging (MAFI)
- Submitting institution
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University of Newcastle upon Tyne
- Unit of assessment
- 12 - Engineering
- Output identifier
- 225200-81834-1293
- Type
- D - Journal article
- DOI
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10.1016/j.carbon.2016.05.073
- Title of journal
- Carbon
- Article number
- -
- First page
- 190
- Volume
- 107
- Issue
- -
- ISSN
- 0008-6223
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2016
- URL
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http://dx.doi.org/10.1016/j.carbon.2016.05.073
- Supplementary information
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- Request cross-referral to
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- 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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6
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Novel use of XPS/Auger data to determine bonding configuration in carbon and acts as an important complimentary technique for the characterisation of graphene materials. This research was supported by EPSRC equipment award EP/K022679/1 and by U.S. Army Research Office under contract/grant number W911NF1410092, “Nanomaterials Characterisation". Review of imaging XPS (DOI:10.1016/J.ELSPEC.2017.12.008) notes: “Application of the MAFI technique, clearly provides strong and unambiguous identification of areas of varying sp2 content in a rapid fashion. There is clear scope for exploitation of this technique where extended graphite/graphene networks are used.”
- Author contribution statement
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- Non-English
- No
- English abstract
- -