4.6 Article

Magnetic ordering in 45 nm-diameter multisegmented FeGa/Cu nanowires: single nanowires and arrays

Journal

JOURNAL OF MATERIALS CHEMISTRY C
Volume 5, Issue 30, Pages 7546-7552

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/c7tc02314f

Keywords

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Funding

  1. National Institute on Minority Health and Health Disparities (NIMHD) through the Research Centers in Minority Institutions (RCMI) Program of the Nanotechnology and Human Health Core [G12MD007591]
  2. CONACYT - I2T2 Nuevo Leon scholarship [382259]
  3. Office of Naval Research via MRSEC center [ONR N00014-06-1-0530, DMR-0819885]
  4. National Science Foundation (NSF) via MRSEC center [DMR-0819885]
  5. Office of Naval Research via NNIN center [ONR N00014-06-1-0530]
  6. National Science Foundation (NSF) via NNIN center

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Magnetic nanowires are ideal candidates for many diverse applications, such as 3D magnetic memory and bio-barcodes, they also allow fundamental studies of magnetic interactions at the nanometer level. Usually their magnetic characterization involves hysteresis loops that represent the weighted averages of each entire array. Here, off-axis electron holography under Lorentz microscopy conditions has been used to observe the magnetization distribution and to determine the saturation magnetization (M-s = 1.26 x 10(6) A m(-1)) of a single 45 nm diameter FeGa(10.5 nm)/Cu(6.5 nm) nanowire. In addition, a row of segmented nanowires still within the alumina growth template was carefully sliced from the array to observe the magnetization distribution resulting from interwire as well as intersegment interactions. Two simultaneous magnetic states were observed in this novel experimental configuration: one is the antiferromagnetic ordering of segments along each wire with ferromagnetic ordering between nanowires and the second is the presence of ferromagnetic vortices along nanowire lengths. Simulations have been performed to verify the presence of both remnant states. These states demonstrate the frustration present in hexagonally packed nanowires and demonstrate the necessity to understand long range magnetic ordering for applications such as 3D magnetic memory.

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