Reconstructing phase-resolved hysteresis loops from first-order reversal curves

Abstract 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 sy...

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Autores principales:	Dustin A. Gilbert, Peyton D. Murray, Julius De Rojas, Randy K. Dumas, Joseph E. Davies, Kai Liu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3da18be339784d328da2e334c1d4dd84
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spelling	oai:doaj.org-article:3da18be339784d328da2e334c1d4dd842021-12-02T10:54:23ZReconstructing phase-resolved hysteresis loops from first-order reversal curves10.1038/s41598-021-83349-z2045-2322https://doaj.org/article/3da18be339784d328da2e334c1d4dd842021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83349-zhttps://doaj.org/toc/2045-2322Abstract 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.Dustin A. GilbertPeyton D. MurrayJulius De RojasRandy K. DumasJoseph E. DaviesKai LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dustin A. Gilbert Peyton D. Murray Julius De Rojas Randy K. Dumas Joseph E. Davies Kai Liu Reconstructing phase-resolved hysteresis loops from first-order reversal curves
description	Abstract 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	article
author	Dustin A. Gilbert Peyton D. Murray Julius De Rojas Randy K. Dumas Joseph E. Davies Kai Liu
author_facet	Dustin A. Gilbert Peyton D. Murray Julius De Rojas Randy K. Dumas Joseph E. Davies Kai Liu
author_sort	Dustin A. Gilbert
title	Reconstructing phase-resolved hysteresis loops from first-order reversal curves
title_short	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_sort	reconstructing phase-resolved hysteresis loops from first-order reversal curves
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3da18be339784d328da2e334c1d4dd84
work_keys_str_mv	AT dustinagilbert reconstructingphaseresolvedhysteresisloopsfromfirstorderreversalcurves AT peytondmurray reconstructingphaseresolvedhysteresisloopsfromfirstorderreversalcurves AT juliusderojas reconstructingphaseresolvedhysteresisloopsfromfirstorderreversalcurves AT randykdumas reconstructingphaseresolvedhysteresisloopsfromfirstorderreversalcurves AT josephedavies reconstructingphaseresolvedhysteresisloopsfromfirstorderreversalcurves AT kailiu reconstructingphaseresolvedhysteresisloopsfromfirstorderreversalcurves
_version_	1718396463253291008

Reconstructing phase-resolved hysteresis loops from first-order reversal curves

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