Design of soft magnetic materials

Ananya Renuka Balakrishna, Richard D. James

Research output: Contribution to journalArticlepeer-review

Abstract

We present a strategy for the design of ferromagnetic materials with exceptionally low magnetic hysteresis, quantified by coercivity. In this strategy, we use a micromagnetic algorithm that we have developed in previous research and which has been validated by its success in solving the “Permalloy Problem”—the well-known difficulty of predicting the composition 78.5% Ni of the lowest coercivity in the Fe–Ni system—and by the insight it provides into the “Coercivity Paradox” of W. F. Brown. Unexpectedly, the design strategy predicts that cubic materials with large saturation magnetization ms and large magnetocrystalline anisotropy constant κ1 will have low coercivity on the order of that of Permalloy, as long as the magnetostriction constants λ100, λ111 are tuned to special values. The explicit prediction for a cubic material with low coercivity is the dimensionless number (c11−c12)λ1002/(2κ1)=81 for 〈100〉 easy axes. The results would seem to have broad potential application, especially to magnetic materials of interest in energy research.

Original languageEnglish (US)
Article number4
Journalnpj Computational Materials
Volume8
Issue number1
DOIs
StatePublished - Dec 2022

Bibliographical note

Funding Information:
The authors acknowledge the Center for Advanced Research Computing at the University of Southern California and the Minnesota Supercomputing Institute at the University of Minnesota for providing resources that contributed to the research results reported within this paper. The authors would like to thank Anjanroop Singh (University of Minnesota) for help in checking some of the calculations. A.R.B acknowledges the support of a Provost Assistant Professor Fellowship, Gabilan WiSE fellowship, and USC’s start-up funds. R.D.J acknowledges the support of a Vannevar Bush Faculty Fellowship. The authors thank NSF (DMREF-1629026) and ONR (N00014-18-1-2766) for partial support of this work.

Publisher Copyright:
© 2022, The Author(s).

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