Automated Searching and Identification of Self-Organised Nanostructures - Output Images
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Publication date
2020-08-05Creators
Gordon, Oliver
Moriarty, Philip
Metadata
Show full item recordDescription
A dataset of >5000 variable AFM dewetting images as classified by a machine learning system. This network was trained on specific, automatically labelled simulations of target nanoparticle structures present within the dataset.
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Subjects
- Machine learning
- Data mining
- Nanoscience
- Atomic force microscopy
- Nanoparticles
- machine learning, datamining, nanoscience, atomic force microscopy, dewetting, nanoparticle
- Physical sciences
- Q Science
- T Technology
Divisions
- University of Nottingham, UK Campus::Faculty of Science::School of Physics and Astronomy
Deposit date
2020-08-05Data type
images & metadata csvContributors
- Eugenie, Hunsicker
- Farley, Steff
- Hodgkinson, Jo EA
Funders
- Engineering & Physical Sciences Research Council
Grant number
- EP/N02379X/1
Collection dates
- 2020
Coverage
- 2005-2007
Data collection method
Images collected by Asylum Research MFP-3D, processing through custom python codeResource languages
- en