journal article·2021-01-01Open access

Robustness of the remanent magnetic domain pattern formation and associated stripe-bubble transitions in Co/Pt multilayers against field sequencing

Aaron Gentillon, Carson Richards, Luis A. Ortiz-Flores, Jeremy Metzner, David Montealegre, Matthew Healey, Kelsey Cardon, Andrew Westover, Olav Hellwig, Karine Chesnel

AIP Advances· Volume 11· Issue 1

Abstract

Thin ferromagnetic [Co/Pt] multilayers with perpendicular magnetic anisotropy exhibit a variety of nanoscopic magnetic domain patterns at remanence, from long interlaced stripes to lattices of bubbles, depending on the multilayer structure but also on the magnetic history of the sample. For optimized structural parameters, stripe-bubble transitions accompanied by drastic increases in domain density have been observed when the magnitude of the previously applied perpendicular field Hm is finely tuned throughout the hysteresis loop. Here, we investigate the robustness of these morphological transitions against field sequencing and field cycling. We conducted this study on [Co(x)/Pt(7Å)]N=50 where x varies from 4 to 60 Å. We mapped the morphological transition with Hm varying from 0 to 9 T, following both an ascending sequence (0 → 9 T) and a descending sequence (9 T → 0). We found that the optimal field Hm = H* at which the domain density is maximized and its associated maximal density n* are not significantly affected by the field sequencing direction. We have also investigated possible pumping effects when cycling the applied field at the value H*. We found that n* remains relatively stable through field cycling, and much more stable in the bubble state, compared to longer stripe states. The observed robustness of these morphological transitions against field sequencing and field cycling is of crucial importance for potential magnetic recording applications.
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Research context

OpenAlex topics: Magnetic properties of thin films · Magnetic Properties and Applications · Advanced Memory and Neural Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics and Astronomy, Brigham Young University 1 , Provo, Utah 84602, USA

Department of Physics Applied to Electronics, Universidad de Puerto Rico-Humacao 2 , Humacao, Puerto Rico 00792, USA

Institute of Ion Beam Physics and Materials Research, Helmholtz-Zentrum Dresden-Rossendorf 3 , Bautzner Landstrasse 400, 01328 Dresden, Germany

Institute of Physics, Chemnitz University of Technology 4 , 09107 Chemnitz, Germany

Funding

NSF REU

References (12)

Show source-provided references
1. J. Phys. D · 2011 · 44 · 39200110.1088/0022-3727/44/39/392001 ↗
2. Nat. Rev. Mater. · 2017 · 2 · 1703110.1038/natrevmats.2017.31 ↗
3. J. Magn. Magn. Mater. · 2007 · 319 · 1310.1016/j.jmmm.2007.04.035 ↗
5. Phys. Rev. Lett. · 2005 · 94 · 01720210.1103/physrevlett.94.017202 ↗
6. Phys. Rev. B · 2008 · 78 · 13240910.1103/physrevb.78.132409 ↗
7. Nature Commun. · 2016 · 7 · 1164810.1038/ncomms11648 ↗
8. Science · 2002 · 298 · 57710.1126/science.1075302 ↗
9. Nature Nanotech. · 2013 · 8 · 15210.1038/nnano.2013.29 ↗
10. J. Magn. Magn. Mater. · 2016 · 399 · 16410.1016/j.jmmm.2015.09.040 ↗
11. Phys. Rev. B · 2018 · 98 · 22440410.1103/physrevb.98.224404 ↗
12. Phys. Rev. B · 2019 · 99 · 02443110.1103/physrevb.99.024431 ↗