Metastable α″-FeN thin films were reported to have a giant saturation magnetization of above 2200 emu/cm in 1972 and have been considered as candidates for next-generation rare-earth-free permanent magnetic materials. However, their magnetic properties have not been confirmed unequivocally. As a result of the limited spatial resolution of most magnetic characterization techniques, it is challenging to measure the saturation magnetization of the α″-FeN phase, as it is often mixed with the parent α'-FeN phase in thin films. Here, we use electron energy-loss magnetic chiral dichroism (EMCD), aberration-corrected transmission electron microscopy, X-ray diffraction and macroscopic magnetic measurements to study α″-FeN (containing ordered N atoms) and α'-FeN (containing disordered N atoms). The ratio of saturation magnetization in α″-FeN to that in α'-FeN is determined to be 1.31 ± 0.10 from quantitative EMCD measurements and dynamical diffraction calculations, confirming the giant saturation magnetization of α″-FeN. Crystallographic information is also obtained about the two phases, which are mixed on the nanoscale.
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http://dx.doi.org/10.1016/j.ultramic.2019.02.016 | DOI Listing |
Nanomaterials (Basel)
December 2024
College of Materials Science and Engineering, Guilin University of Technology, Guilin 541004, China.
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December 2024
Michigan State University, East Lansing, MI, USA
Background: White Matter Hyperintensities (WMH) appear on T2‐weighted Fluid‐Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Imaging (MRI) and are an important biomarker of cerebral small vessel disease (CSVD), cognitive decline, and stroke. However, manual delineation is laborious and bias‐prone, while automated segmentation has proven challenging. With the recent conclusion of the MICCAI‐Society WMH segmentation challenge, and our large clinical trials, “Risk Reduction for Alzheimer’s Disease” (rrAD) and “Hypertension, Intracranial Pulsatility and Brain Amyloid‐beta Clearance in older adults” (HIPAC), we investigated the differences in the total WMH volume segmented by various algorithms to ensure the extraction of accurate and meaningful image‐derived phenotypes.
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