# Towards understanding of magnetization reversal in Nd$-$Fe$-$B nanocomposites: Analysis by high-throughput micromagnetic simulations

## TL;DR

This paper uses high-throughput micromagnetic simulations to analyze the magnetization reversal in Nd-Fe-B nanocomposites, comparing different models to match experimental hysteresis data and understanding microstructure effects.

## Contribution

It introduces a comprehensive simulation approach that accurately models magnetic microstructure and interactions in Nd-Fe-B nanocomposites, advancing understanding of their magnetization reversal.

## Key findings

- The most sophisticated core-shell model matches experimental hysteresis loops.
- Microstructure and magnetic interactions critically influence magnetic properties.
- Systematic parameter scans identify optimal modeling approaches.

## Abstract

We demonstrate how micromagnetic simulations can be employed in order to characterize and analyze the magnetic microstructure of nanocomposites. For the example of nanocrystalline Nd$-$Fe$-$B, which is a potential material for future permanent-magnet applications, we have compared three different models for the micromagnetic analysis of this material class: (i) a description of the nanocomposite microstructure in terms of Stoner-Wohlfarth particles with and without the magnetodipolar interaction; (ii) a model based on the core-shell representation of the nanograins; (iii) the latter model including a contribution of superparamagnetic clusters. The relevant parameter spaces have been systematically scanned with the aim to establish which micromagnetic approach can most adequately describe experimental data for this material. According to our results, only the last, most sophisticated model is able to provide an excellent agreement with the measured hysteresis loop. The presented methodology is generally applicable to multiphase magnetic nanocomposites and it highligths the complex interrelationship between the microstructure, magnetic interactions, and the macroscopic magnetic properties.