Micromagnetics of Galfenol

Vivekanand Dabade, Raghavendra Venkatraman, Richard D James

Research output: Contribution to journalArticle

Abstract

We study the micromagnetics of soft cubic ferromagnets with large magnetostriction, with the goal of understanding the microstructure and behavior of recently reported single-crystal Galfenol samples [Chopra and Wuttig in Nature 521(7552):340–343, 2015]. First, taking the no-exchange formulation of the micromagnetics energy [De Simone and James in J Mech Phys Solids 50(2):283–320, 2002], we construct minimizing sequences that yield local average magnetization and strain curves matching the experimental findings of Chopra and Wuttig (2015). Then, reintroducing a sharp-interface version of the exchange energy [Choksi and Kohn in Commun Pure Appl Math 51(3):259–289, 1998], we construct normal and zig-zag Landau states; within the parameter regime of Galfenol, we show that the latter achieves lower-energy scaling via equipartition of energy between the 90 wall energy, 180 wall energy and the anisotropy energy. This forms the first step in adapting the program of Kohn and Müller [Philos Mag A 66(5):697–715, 1992] to explain why certain magnetic microstructures are observed over others.

Original languageEnglish (US)
Pages (from-to)415-460
Number of pages46
JournalJournal of Nonlinear Science
Volume29
Issue number2
DOIs
StatePublished - Apr 15 2019

Fingerprint

Micromagnetics
Microstructure
Magnetostriction
Energy
Magnetization
Anisotropy
Single crystals
Minimizing Sequences
Equipartition
Ferromagnet
Zigzag
Single Crystal
Scaling
Curve
Formulation

Keywords

  • Cubic ferromagnets
  • Magnetostriction
  • Micromagnetics
  • Pattern formation
  • Scaling laws

Cite this

Micromagnetics of Galfenol. / Dabade, Vivekanand; Venkatraman, Raghavendra; James, Richard D.

In: Journal of Nonlinear Science, Vol. 29, No. 2, 15.04.2019, p. 415-460.

Research output: Contribution to journalArticle

Dabade, Vivekanand ; Venkatraman, Raghavendra ; James, Richard D. / Micromagnetics of Galfenol. In: Journal of Nonlinear Science. 2019 ; Vol. 29, No. 2. pp. 415-460.
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