  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.
