Magnetic Domain Image Analysis of La0.7Sr0.3MnO3 Based ‘Donut’ Micromagnets

ORAL

Abstract

The development of next-generation computing devices based on spintronics and magnonics requires an understanding of how spin textures can be tailored in patterned magnetic materials. Lithographically patterned micro/nanostructures can provide insights into the formation of magnetic domains consisting of vortex states that are potential building blocks of magnetic memory. Complex oxide such as epitaxially grown La0.7Sr0.3MnO3 (LSMO) thin films exhibit strong correlations among spin, orbital, charge and lattice parameters. As a soft ferromagnet, LSMO is a promising material for analyzing complex spin textures and controlling domain configurations by varying the micromagnet geometry. Using x-ray photoemission electron microscopy we imaged thermally demagnetized LSMO donuts i.e., circular micromagnets with variable hole diameters. The combination of quantitative image analysis and micromagnetic simulations, allowed us to explain the formation of spin textures consisting of either a single vortex or a pair of concentric vortices with opposite chiralities in the donut structures. These results further our understanding of magnetic spin texture formation and vortex dynamics for the development of spin-based devices.

* Portions of this work were supported by the National Science Foundation (Grant No. DMR 1745450). Resources facilitated this research at the Advanced Light Source, Berkeley, Department of Energy (DOE) Office of Science User Facility (Contract No. DEAC02- 05CH11231). Electron beam lithography was conducted at the Center for Nanophase Material Sciences, a US DOE Office of Science User Facility.

Presenters

  • Tanaya Sahoo

    University of California, Davis

Authors

  • Tanaya Sahoo

    University of California, Davis

  • Dayne Y Sasaki

    University of California, Davis, University of California Davis, Davis

  • Scott T Retterer

    Center for Nanophase Materials Sciences, Oak Ridge National Laboratory

  • Ishmam Nihal

    University of California, Davis

  • Mingzhen Feng

    University of California, Davis, University of California Davis, University of Calilfornia, Davis

  • Andreas Scholl

    Lawrence Berkeley National Laboratory

  • Yayoi Takamura

    University of California, Davis