Graphene nanoplatelets size analysis based on sample transparency
DOI:
https://doi.org/10.4302/photon.%20lett.%20pl.v7i4.605Abstract
The paper presents transmission characteristics of different graphene samples. Predicting affiliation to groups characterized by different size nanoplatelets and describing character of pastes was the aim of presented work. To achieve this goal authors used simple optical system in which a plane wave illumination of the sample and a telecentric imaging system were used. Analysis of intensity histograms and lowest transmission regions of nanaplatelets were done. To create a model from measured parameters, authors applied decision tree using leave-one-out cross-validation to fairly evaluate the results. Model allows to predict the size of nanoplatelets.Full Text: PDF
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Published
2015-12-31
How to Cite
[1]
Z. Lorenc, S. Tomczewski, and L. Sałbut, “Graphene nanoplatelets size analysis based on sample transparency”, Photonics Lett. Pol., vol. 7, no. 4, pp. pp. 118–120, Dec. 2015.
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