Graphene nanoplatelets size analysis based on sample transparency

Abstract

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 the present work. To achieve this goal, the authors used a 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 was done. To create a model from measured parameters, the authors applied a decision tree using leave-one-out cross-validation to fairly evaluate the results. The model allows to predict the size of nanoplatelets.