EELS techniques towards characterizing and mapping iron valence states in iron oxide samples

Abstract

In this work a sample of iron oxide nanoparticles is studied with a variety of techniques. In order to map its oxidation states, a characterization through indexing its crystallographic structure is attempted, but it is an EELS big data treatment through model creation of individual components in conjunction with clustering what will ultimately reveal a distribution map of different oxidation states across the sample