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Angle Selective Piezoelectric Strain Controlled Magnetization Switching in Artificial Spin Ice Based Multiferroic System

Mesoscale and Nanoscale Physics 2024-06-19 v1

Abstract

The prospect of all electrically controlled writing of ferromagnetic bits is highly desirable for developing scalable and energy-efficient spintronics devices. In the present work, we perform micromagnetic simulations to investigate the electric field-induced strain mediated magnetization switching in artificial spin ice (ASI) based multiferroic system, which is proposed to have a significant decrease in Joule heating losses compared to electric current based methods. As the piezo electric strain-based system cannot switch the magnetization by 180180^\circ in ferromagnets, we propose an ASI multiferroic system consisting of the peanut-shaped nanomagnets on ferroelectric substrate with the angle between the easy axis and hard axis of magnetization less than 9090^\circ. Here the piezoelectric strain-controlled magnetization switching has been studied by applying the electric field pulse at different angles with respect to the axes of the system. Remarkably, magnetization switches by 180180^\circ only if the external electric field pulse is applied at some specific angles, close to the anisotropy axis of the system ( 3060\sim 30^\circ - 60^\circ). Our detailed analysis of the demagnetization energy variation reveals that the energy barrier becomes antisymmetric in such cases, facilitating the complete magnetization reversal. Moreover, we have also proposed a possible magnetization reversal mechanism with two sequential electric field pulses of relatively smaller magnitude. We believe that the present work could pave the way for future ASI-based multiferroic system for scalable magnetic field-free low power spintronics devices.

Keywords

Cite

@article{arxiv.2108.09625,
  title  = {Angle Selective Piezoelectric Strain Controlled Magnetization Switching in Artificial Spin Ice Based Multiferroic System},
  author = {Avinash Chaurasiya and Manish Anand and Rajdeep Singh Rawat},
  journal= {arXiv preprint arXiv:2108.09625},
  year   = {2024}
}

Comments

23 pages, 9 figures

R2 v1 2026-06-24T05:18:51.626Z