Energy based stochastic model for temperature dependent behavior of ferromagnetic materials

TL;DR

This paper introduces an energy-based stochastic model that accurately predicts the temperature-dependent magnetization of ferromagnetic materials by accounting for inhomogeneity and temperature effects simultaneously, validated against experimental data.

Contribution

It presents a novel approach to model temperature-dependent magnetization by independently incorporating inhomogeneity and temperature effects, improving accuracy over prior methods.

Findings

Model accurately fits experimental data from 5K to 300K.

Accounting for both inhomogeneity and temperature is essential for correct modeling.

Validated on two different ferromagnetic materials with varying inhomogeneity levels.

Abstract

An energy based stochastic model for temperature dependent anhysteretic magnetization curves of ferromagnetic materials is proposed and bench marked against experimental data. This is based on the calculation of macroscopic magnetic properties by performing an energy weighted average over all possible orientations of the magnetization vector. Most prior approaches that employ this method are unable to independently account for the effect of both inhomogeneity and temperature in performing the averaging necessary to model experimental data. Here we propose a way to account for both effects simultaneously and benchmark the model against experimental data from ~5K to ~300K for two different materials in both annealed (fewer inhomogeneities) and deformed (more inhomogeneities) samples. This demonstrates that the independent accounting for the effect of both inhomogeneity and temperature is necessary to correctly model temperature dependent magnetization behavior.