Combinatorial synthesis of Co/Pd magnetic multilayers

Journal Article · Thu Jun 01 04:00:00 EDT 2006 · Journal of Applied Physics

DOI:https://doi.org/10.1063/1.2200879· OSTI ID:20795835

Chunsheng, E; Smith, Darren; Svedberg, Erik; Khizroev, Sakhrat; Litvinov, Dmitri ^[1]

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1. Center for Nanomagnetic Systems, University of Houston, Houston, Texas 77204 (United States)

A combinatorial approach to the synthesis of high anisotropy Co/Pd magnetic multilayer thin films is explored. Combinatorial libraries of Co/Pd multilayer thin films were prepared using magnetron sputtering where the thicknesses of Co and Pd layers in the bilayer stack are varied. Application of multivariate regression and neural network models to the analysis of Co/Pd multilayer combinatorial libraries is studied and the predictive capabilities of the two models are compared. The influences of the thicknesses of Co and Pd layers on magnetic properties are investigated. The models are used to design Co/Pd multilayers with the desired magnetic properties. It is found that the neural network model enables higher accuracy than the multivariate analysis model and that the inverse design problem produces results within a good degree of precisions.

• OSTI ID: 20795835
• Journal Information: Journal of Applied Physics, Journal Name: Journal of Applied Physics Journal Issue: 11 Vol. 99; ISSN JAPIAU; ISSN 0021-8979
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
ANISOTROPY
COBALT
DEPOSITION
FERROMAGNETIC MATERIALS
LAYERS
MAGNETIC PROPERTIES
MULTIVARIATE ANALYSIS
NEURAL NETWORKS
PALLADIUM
SPUTTERING
THICKNESS
THIN FILMS