  The spin Seebeck effect has recently been demonstrated as a viable method of
direct energy conversion that has potential to outperform energy conversion
from the conventional Seebeck effect. In this study, a computational transport
model is developed and validated that predicts the spin Seebeck voltage in
spin-polarized materials using material parameter obtain from first principle
ground state density functional calculations. The transport model developed is
based on a 1D effective mass description coupled with a microscopic inverse
spin Hall relationship. The model can predict both the spin current and voltage
generated in a non-magnetic material placed on top of a ferromagnetic material
in a transverse spin Seebeck configuration. The model is validated and verified
with available experimental data of La:YIG. Future applications of this model
include the high-throughput exploration of new spin-based thermoelectric
materials.
