Determining the orderliness of carbon materials with nanoparticle imaging and explainable machine learning

Abstract

We propose a set of features for the ordered arrangement of palladium nanoparticles that are consistent with the intuitive understanding of researchers and allow quantification of the data in terms of easily interpretable physical parameters.