Simulation of Multiferroic Hysteresis Loops Using Different Models
Authors
Department of Electrical and Computer Engineering, University of Colorado, Colorado Springs, Colorado (India)
Department of Physics, Osmania University, Hyderabad 500039 (India)
Article Information
DOI: 10.51584/IJRIAS.2026.11060286
Subject Category: Engineering
Volume/Issue: 11/6 | Page No: 3860-3870
Publication Timeline
Submitted: 2026-07-02
Accepted: 2026-07-07
Published: 2026-07-18
Abstract
Multiferroics show multiple ferroic ordering. These materials show multiple types relaxations and hysteresis loops when certain parameters are plotted. The present paper describes the models and hysteresis behavior of multiferroic materials. Ferroelectric, ferromagnetic, magneto electric and memristor hysteresis loops are simulated. Ginsburg Landau model is used for ferroelectric hysteresis, Jiles-Atherton model is used for ferromagnetic model. Joglekar model is used for memristor. Romberg Osgood model is used for ferroelastic hysteresis. The Models algorithm, input and output for the program are discussed.
Keywords
The new magneto, electro, elastic memristor materials refer
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References
1. Rao C.N.R., Sundaresan A., Saha R. Multiferroic and magnetoelectric oxides: The emerging scenario. J. Phys. Chem. Lett. 2012;3:2237–2246. doi: 10.1021/jz300688b. [Google Scholar] [Crossref]
2. Fiebig M. Revival of the magnetoelectric effect. J. Phys. D Appl. Phys. 2005;38:R123–R152. doi: 10.1088/0022-3727/38/8/R01. [Google Scholar] [Crossref]
3. Chu Y.H., Martin L.W., Holcomb M.B., Ramesh R. Controlling magnetism with multiferroics. Mater. Today. 2007;10:16–23. doi: 10.1016/S1369-7021(07)70241-9. [Google Scholar] [Crossref]
4. Eerenstein W., Mathur N.D., Scott J.F. Multiferroic and magnetoelectric materials. Nature. 2006;442:759–765. doi: 10.1038/nature05023. [Google Scholar] [Crossref]
5. A. K. Soh and J. X. Liu On the Constitutive Equations of Magnetoelectroelastic Solids Journal of Intelligent Material Systems and Structures, 597, 16—July/August 2005 [Google Scholar] [Crossref]
6. Landau LD, Lifshitz EM. Electrodynamics of continuous media. 2nd ed. New York: Pergamon Press; 1984 [Google Scholar] [Crossref]
7. L.O. Chua, IEEE Trans. Circuit Theory, CT-18, p. 507 (1971) [Google Scholar] [Crossref]
8. L.O. Chua, Appl. Phys. A-Mater. Sci. Process., 102, p. 765 (2011) [Google Scholar] [Crossref]
9. M. E. Lines and A. M. Glass, Principles and Applications of Ferroelectrics and Related Materials, Oxford University Press, Oxford, reprinted 2009. [Google Scholar] [Crossref]
10. 10 Schmid, H. 2008 Some symmetry aspects of ferroics and single phase multiferroics. J. Phys.Condens. Matter 20, 434201. (doi:10.1088/0953-8984/20/43/434201) [Google Scholar] [Crossref]
11. 11 Chu, Y. H., Martin, L. W., Holcomb, M. B. & Ramesh, R. 2007 Controlling magnetism with multiferroics. Mater. Today 10, 16–23. (doi:10.1016/S1369-7021(07)70241-9) [Google Scholar] [Crossref]
12. 12 Landau, L. D. &Lifshitz, E. M. 1980 Statistical physics. Oxford, UK: Pergamon. [Google Scholar] [Crossref]
13. NaserMostaghel, Ryan A. Byrd Inversion of Ramberg–Osgood equation and description of hysteresis loops International Journal of Non-Linear Mechanics Volume 37, Issue 8, December 2002, Pages 1319-1335 [Google Scholar] [Crossref]
14. Sadowski, N.; Batistela, N.; Bastos, J.; Lajoie-Mazenc, M. An inverse Jiles-Atherton model to take into account hysteresis in time-stepping finite-element calculations. IEEE Trans. Magn. 2002, 38, 797–800. [Google Scholar] [Crossref]
15. Leite, J.; Sadowski, N.; Kuo-Peng, P.; Batistela, N.; Bastos, J.; De Espindola, A. Inverse Jiles-Atherton vector hysteresis model. IEEE Trans. Magn. 2004, 40, 1769–1775. [Google Scholar] [Crossref]
16. L.O. Chua and S.M. Kang, Proc. IEEE, 64, p. 209 (1976) [Google Scholar] [Crossref]
17. Zhang Q , Zhu J, Chen L, Wu H. A survey on the modeling of memristor devices. IEEE Access. 2019;7:8511-8522 [Google Scholar] [Crossref]
18. Y.N. Joglekar and S.J. Wolf, ”The elusive memristor: properties of basic electrical circuits,” Eur. J. Phys., vol. 30, pp. 661-675, 2009. [Google Scholar] [Crossref]
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