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Pattern recognition approach to quantify the atomic structure of graphene
- Source :
- Kling, J, Vestergaard, J S, Dahl, A B, Stenger, N, Booth, T, Bøggild, P, Larsen, R, Wagner, J B & Hansen, T W 2014, ' Pattern recognition approach to quantify the atomic structure of graphene ', Carbon, vol. 74, pp. 363-366 . https://doi.org/10.1016/j.carbon.2014.03.013, ResearcherID
- Publication Year :
- 2014
-
Abstract
- We report a pattern recognition approach to detect the atomic structure in high-resolution transmission electron microscopy images of graphene. The approach provides quantitative information such as carbon-carbon bond lengths and bond length variations on a global and local scale alike. © 2014 Elsevier Ltd. All rights reserved.
- Subjects :
- chemistry.chemical_classification
Graphene
business.industry
Local scale
Pattern recognition
Carbon-carbon bond
General Chemistry
Bond length variation
law.invention
Bond length
High resolution electron microscopy
chemistry
Transmission electron microscopy
Carbon–carbon bond
law
Pattern recognition (psychology)
General Materials Science
Artificial intelligence
business
Quantitative information
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Kling, J, Vestergaard, J S, Dahl, A B, Stenger, N, Booth, T, Bøggild, P, Larsen, R, Wagner, J B & Hansen, T W 2014, ' Pattern recognition approach to quantify the atomic structure of graphene ', Carbon, vol. 74, pp. 363-366 . https://doi.org/10.1016/j.carbon.2014.03.013, ResearcherID
- Accession number :
- edsair.doi.dedup.....9b6471cfb74bccb6d410e5dd3c02712a
- Full Text :
- https://doi.org/10.1016/j.carbon.2014.03.013