Calculating the spin memory loss at Cu$|$metal interfaces from first principles
Ruixi Liu, Kriti Gupta, Zhe Yuan, Paul J. Kelly

TL;DR
This study uses first-principles calculations to quantify spin memory loss at Cu|metal interfaces, revealing temperature-dependent behavior and agreement with experimental data, advancing understanding of spin transport in metallic multilayers.
Contribution
It provides the first-principles quantitative analysis of spin memory loss at Cu|metal interfaces, including temperature effects and comparison with experimental results.
Findings
Spin memory loss parameter δ varies with temperature.
δ is comparable for Cu|Pt and Au|Pt interfaces.
Inserting Cu layers affects spin current dissipation.
Abstract
The role played by interfaces in metallic multilayers is not only to change the momenta of incident electrons; their symmetry lowering also results in an enhancement of the effects of spin-orbit coupling, in particular the flipping of the spins of conduction electrons. This leads to a significant reduction of a spin current through a metallic interface that is quantitatively characterized by a dimensionless parameter called the spin memory loss (SML) parameter, the interface counterpart of the spin-flip diffusion length for bulk metals. In this paper we use first-principles scattering calculations that include temperature-induced lattice and spin disorder to systematically study three parameters that govern spin transport through metallic interfaces of Cu with Pt, Pd, Py (permalloy) and Co: the interface resistance, spin polarization and the SML. The value of for a…
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