6533b82bfe1ef96bd128d7e7

RESEARCH PRODUCT

Thermal conductance of thin film YIG determined using Bayesian statistics

Paulina HołujGerhard JakobThomas LangnerVitaliy I. VasyuchkaAndreas KehlbergerChristoph EulerMathias Kläui

subject

Standard formCondensed Matter - Materials ScienceMaterials scienceField (physics)Condensed matter physicsMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesMaterial system02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesOmegaElectronic Optical and Magnetic MaterialsThermal conductivity0103 physical sciencesThermoelectric effectThin film010306 general physics0210 nano-technologySpin-½

description

Thin film YIG (${\mathrm{Y}}_{3}{\mathrm{Fe}}_{5}{\mathrm{O}}_{12}$) is a prototypical material for experiments on thermally generated pure spin currents and the spin Seebeck effect. The $3\ensuremath{\omega}$ method is an established technique to measure the cross-plane thermal conductance of thin films, but cannot be used in YIG/GGG (${\mathrm{Ga}}_{3}{\mathrm{Gd}}_{5}{\mathrm{O}}_{12}$) systems in its standard form. We use two-dimensional modeling of heat transport and introduce a technique based on Bayesian statistics to evaluate measurement data taken from the $3\ensuremath{\omega}$ method. Our analysis method allows us to study material systems that have not been accessible with the conventionally used $3\ensuremath{\omega}$ analysis. Temperature-dependent thermal conductance data of thin film YIG are of major importance for experiments in the field of spin caloritronics. Here we show data between room temperature and 10 K for films covering a wide thickness range as well as the magnetic field effect on the thermal conductance between 10 and 50 K.

https://dx.doi.org/10.48550/arxiv.1505.08006