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Combinatorial synthesis of Co/Pd magnetic multilayers

机译:Co / Pd磁性多层膜的组合合成

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摘要

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.
机译:探索了一种合成高各向异性Co / Pd磁性多层薄膜的组合方法。使用磁控溅射制备了Co / Pd多层薄膜的组合库,其中双层堆叠中Co和Pd层的厚度是变化的。研究了多元回归和神经网络模型在Co / Pd多层组合库分析中的应用,并比较了两种模型的预测能力。研究了Co和Pd层的厚度对磁性能的影响。该模型用于设计具有所需磁性的Co / Pd多层。已经发现,与多元分析模型相比,神经网络模型具有更高的准确性,并且逆设计问题可以在较高的精度范围内产生结果。

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