JOURNAL ARTICLE

Studies of electrical resistivity and magnetic properties of CuFe and CuNiFe films prepared by magnetron sputtering.

  • Published In: Journal of Vacuum Science & Technology: Part A-Vacuums, Surfaces & Films, 2024, v. 42, n. 4. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Shahzad, Muhammad Saqib; Wang, Xiao; Hu, Yinglin; Li, Xiaona; Jiang, Qiao; Li, Min; Li, ZhuMin; Liu, Renwei; Zheng, Rui; Dong, Chuang 3 of 3

Abstract

This article focuses on the preparation and characterization of Cu-Fe and Cu-Ni-Fe thin films fabricated by radio frequency magnetron sputtering, analyzing how the content and distribution of ferromagnetic elements affect their magnetic and electrical properties. The Cu100−xFex and Cu100−x(Ni3/4Fe1/4)x films exhibit face-centered-cubic (FCC) structures with small amounts of body-centered-cubic (BCC) Fe and L12-Ni3Fe nanocrystals, respectively, and show columnar crystal morphology with uniform thickness. Magnetic saturation (MS) increases with ferromagnetic element content, with Cu-Fe films demonstrating higher MS than Cu-Ni-Fe films due to the stronger magnetic moment of Fe-Fe pairs compared to Ni-Fe pairs; coercivity (HC) correlates with magnetic domain size. Electrical resistivity rises with ferromagnetic content and is higher in Cu-Fe films, primarily influenced by magnetic properties rather than grain size or solute content, and differences between films and bulk alloys are attributed to the distribution and segregation of magnetic elements.

Additional Information

  • Source:Journal of Vacuum Science & Technology: Part A-Vacuums, Surfaces & Films. 2024/07, Vol. 42, Issue 4, p1
  • Document Type:Article
  • Subject Area:Physics
  • Publication Date:2024
  • ISSN:07342101
  • DOI:10.1116/6.0003684
  • Accession Number:178228081
  • Copyright Statement:Copyright of Journal of Vacuum Science & Technology: Part A-Vacuums, Surfaces & Films is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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