Quantitative description of complex magnetic nanoparticle arrays

Abstract

First-order reversal curves (FORC) measurements are broadly used for characterization of complex magnetic nanostructures, but a robust framework for quantitative analysis of the FORC data is still obscure despite numerous studies over decades. In this paper, we first establish a framework for extracting quantitative parameters from the FORC measurements conducted on samples including a single type of magnetic nanostructures to interpret their magnetic properties. We then generalize our framework for quantitative characterization of the samples including multiple types of magnetic nanostructures to determine the most reliable and reproducible parameter for detailed analysis of the samples. Our approach provides an insightful path for a more accurate quantitative description of complex magnetic nanostructures including various different magnetic subcomponents and/or magnetic phases.