Combinatorial synthesis of Co/Pd magnetic multilayers

E. Chunsheng, Darren Smith, Erik Svedberg, Sakhrat Khizroev, Dmitri Litvinov

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

A combinatorial approach to the synthesis of high anisotropy CoPd magnetic multilayer thin films is explored. Combinatorial libraries of CoPd 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 CoPd 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 CoPd 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.

Original languageEnglish (US)
Article number113901
JournalJournal of Applied Physics
Volume99
Issue number11
DOIs
StatePublished - Jun 1 2006

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Fingerprint

Dive into the research topics of 'Combinatorial synthesis of Co/Pd magnetic multilayers'. Together they form a unique fingerprint.

Cite this