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Published on: January 19, 2018
Reconstructing phase-resolved hysteresis loops from first-order reversal curves.
Dustin A Gilbert1,2, Peyton D Murray3, Julius De Rojas3
1Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN, 37919, USA. dagilbert@utk.edu.
The first order reversal curve (FORC) method now quantifies nanoscale magnetic properties. This technique reconstructs phase-resolved hysteresis loops, enabling accurate measurement of magnetic metrics in complex materials.
Area of Science:
- Materials Science
- Magnetometry
- Nanotechnology
Background:
- The first order reversal curve (FORC) method analyzes nanoscale magnetic phase separation and interactions via macroscopic measurements.
- FORC is valuable for complex systems but struggles with quantitative phase detail recovery.
- Traditional metrics are difficult to obtain from FORC data.
Purpose of the Study:
- To develop a method for reconstructing phase-resolved magnetic hysteresis loops from FORC distributions.
- To enable the determination of traditional magnetic metrics (coercivity, saturation field, remanent and saturation magnetization) from these reconstructed loops.
- To address the challenge of quantitatively managing reversible features in FORC analysis.
Main Methods:
- Selective integration of the measured FORC distribution.
- Reconstruction of phase-resolved minor magnetic hysteresis loops.
- Careful quantitative management of reversible features.
Main Results:
- Successfully reconstructed phase-resolved magnetic hysteresis loops.
- Determined traditional magnetic metrics from the reconstructed loops.
- Demonstrated excellent agreement with directly measured major loops and phase-separated loops in FeCuPt thin-films, Fe nanodots, and SmCo/Fe exchange spring magnet films.
Conclusions:
- The developed technique enables quantitative analysis of magnetic phases using FORC data.
- This method overcomes limitations of FORC in providing detailed magnetic metrics.
- The approach is validated across diverse magnetic materials systems.
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