Literature DB >> 33597639

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

Dustin A Gilbert1,2, Peyton D Murray3, Julius De Rojas3, Randy K Dumas4, Joseph E Davies5, Kai Liu3,6.   

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.

Entities:  

Year:  2021        PMID: 33597639     DOI: 10.1038/s41598-021-83349-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  10 in total

1.  Reversal-field memory in the hysteresis of spin glasses.

Authors:  H G Katzgraber; F Pázmándi; C R Pike; Kai Liu; R T Scalettar; K L Verosub; G T Zimányi
Journal:  Phys Rev Lett       Date:  2002-12-02       Impact factor: 9.161

2.  Memory effect in magnetic nanowire arrays.

Authors:  Xiaoming Kou; Xin Fan; Randy K Dumas; Qi Lu; Yaping Zhang; Hao Zhu; Xiaokai Zhang; Kai Liu; John Q Xiao
Journal:  Adv Mater       Date:  2011-02-07       Impact factor: 30.849

3.  3D Nanomagnetism in Low Density Interconnected Nanowire Networks.

Authors:  Edward C Burks; Dustin A Gilbert; Peyton D Murray; Chad Flores; Thomas E Felter; Supakit Charnvanichborikarn; Sergei O Kucheyev; Jeffrey D Colvin; Gen Yin; Kai Liu
Journal:  Nano Lett       Date:  2020-12-10       Impact factor: 11.189

4.  Exchange-coupled nanocomposite magnets by nanoparticle self-assembly.

Authors:  Hao Zeng; Jing Li; J P Liu; Zhong L Wang; Shouheng Sun
Journal:  Nature       Date:  2002-11-28       Impact factor: 49.962

5.  Magnetic properties of uncultivated magnetotactic bacteria and their contribution to a stratified estuary iron cycle.

Authors:  A P Chen; V M Berounsky; M K Chan; M G Blackford; C Cady; B M Moskowitz; P Kraal; E A Lima; R E Kopp; G R Lumpkin; B P Weiss; P Hesse; N G F Vella
Journal:  Nat Commun       Date:  2014-09-01       Impact factor: 14.919

6.  Quantitative decoding of interactions in tunable nanomagnet arrays using first order reversal curves.

Authors:  Dustin A Gilbert; Gergely T Zimanyi; Randy K Dumas; Michael Winklhofer; Alicia Gomez; Nasim Eibagi; J L Vicent; Kai Liu
Journal:  Sci Rep       Date:  2014-02-26       Impact factor: 4.379

7.  Realization of ground-state artificial skyrmion lattices at room temperature.

Authors:  Dustin A Gilbert; Brian B Maranville; Andrew L Balk; Brian J Kirby; Peter Fischer; Daniel T Pierce; John Unguris; Julie A Borchers; Kai Liu
Journal:  Nat Commun       Date:  2015-10-08       Impact factor: 14.919

8.  Structural and magnetic depth profiles of magneto-ionic heterostructures beyond the interface limit.

Authors:  Dustin A Gilbert; Alexander J Grutter; Elke Arenholz; Kai Liu; B J Kirby; Julie A Borchers; Brian B Maranville
Journal:  Nat Commun       Date:  2016-07-22       Impact factor: 14.919

9.  Magnetic Yoking and Tunable Interactions in FePt-Based Hard/Soft Bilayers.

Authors:  Dustin A Gilbert; Jung-Wei Liao; Brian J Kirby; Michael Winklhofer; Chih-Huang Lai; Kai Liu
Journal:  Sci Rep       Date:  2016-09-08       Impact factor: 4.379

  10 in total

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