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Reconstructing phase-resolved hysteresis loops from first-order reversal curves
The first order reversal curve (FORC) method is a magnetometry based technique used to capture nanoscale magnetic phase separation and interactions with macroscopic measurements using minor hysteresis loop analysis. This makes the FORC technique a powerful tool in the analysis of complex systems whi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889904/ https://www.ncbi.nlm.nih.gov/pubmed/33597639 http://dx.doi.org/10.1038/s41598-021-83349-z |
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author | Gilbert, Dustin A. Murray, Peyton D. De Rojas, Julius Dumas, Randy K. Davies, Joseph E. Liu, Kai |
author_facet | Gilbert, Dustin A. Murray, Peyton D. De Rojas, Julius Dumas, Randy K. Davies, Joseph E. Liu, Kai |
author_sort | Gilbert, Dustin A. |
collection | PubMed |
description | The first order reversal curve (FORC) method is a magnetometry based technique used to capture nanoscale magnetic phase separation and interactions with macroscopic measurements using minor hysteresis loop analysis. This makes the FORC technique a powerful tool in the analysis of complex systems which cannot be effectively probed using localized techniques. However, recovering quantitative details about the identified phases which can be compared to traditionally measured metrics remains an enigmatic challenge. We demonstrate a technique to reconstruct phase-resolved magnetic hysteresis loops by selectively integrating the measured FORC distribution. From these minor loops, the traditional metrics—including the coercivity and saturation field, and the remanent and saturation magnetization—can be determined. In order to perform this analysis, special consideration must be paid to the accurate quantitative management of the so-called reversible features. This technique is demonstrated on three representative materials systems, high anisotropy FeCuPt thin-films, Fe nanodots, and SmCo/Fe exchange spring magnet films, and shows excellent agreement with the direct measured major loop, as well as the phase separated loops. |
format | Online Article Text |
id | pubmed-7889904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78899042021-02-22 Reconstructing phase-resolved hysteresis loops from first-order reversal curves Gilbert, Dustin A. Murray, Peyton D. De Rojas, Julius Dumas, Randy K. Davies, Joseph E. Liu, Kai Sci Rep Article The first order reversal curve (FORC) method is a magnetometry based technique used to capture nanoscale magnetic phase separation and interactions with macroscopic measurements using minor hysteresis loop analysis. This makes the FORC technique a powerful tool in the analysis of complex systems which cannot be effectively probed using localized techniques. However, recovering quantitative details about the identified phases which can be compared to traditionally measured metrics remains an enigmatic challenge. We demonstrate a technique to reconstruct phase-resolved magnetic hysteresis loops by selectively integrating the measured FORC distribution. From these minor loops, the traditional metrics—including the coercivity and saturation field, and the remanent and saturation magnetization—can be determined. In order to perform this analysis, special consideration must be paid to the accurate quantitative management of the so-called reversible features. This technique is demonstrated on three representative materials systems, high anisotropy FeCuPt thin-films, Fe nanodots, and SmCo/Fe exchange spring magnet films, and shows excellent agreement with the direct measured major loop, as well as the phase separated loops. Nature Publishing Group UK 2021-02-17 /pmc/articles/PMC7889904/ /pubmed/33597639 http://dx.doi.org/10.1038/s41598-021-83349-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gilbert, Dustin A. Murray, Peyton D. De Rojas, Julius Dumas, Randy K. Davies, Joseph E. Liu, Kai Reconstructing phase-resolved hysteresis loops from first-order reversal curves |
title | Reconstructing phase-resolved hysteresis loops from first-order reversal curves |
title_full | Reconstructing phase-resolved hysteresis loops from first-order reversal curves |
title_fullStr | Reconstructing phase-resolved hysteresis loops from first-order reversal curves |
title_full_unstemmed | Reconstructing phase-resolved hysteresis loops from first-order reversal curves |
title_short | Reconstructing phase-resolved hysteresis loops from first-order reversal curves |
title_sort | reconstructing phase-resolved hysteresis loops from first-order reversal curves |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889904/ https://www.ncbi.nlm.nih.gov/pubmed/33597639 http://dx.doi.org/10.1038/s41598-021-83349-z |
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