Direct imaging of magnetic hedgehogs from 3D topological spin textures by soft x-ray vector ptychography

ORAL

Abstract

Magnetic topological defects are energetically stable spin configurations characterized by symmetry breaking. Vortices and skyrmions are two well-known examples of 2D spin textures that have been actively studied for both fundamental interest and practical applications. However, experimental evidence of the 3D spin textures has been largely indirect or qualitative to date, due to the difficulty of quantitively characterizing them within nanoscale volumes. Here, we develop soft x-ray vector ptychography to quantitatively image the 3D magnetization vector field in a frustrated superlattice with 10 nm spatial resolution. By applying homotopy theory to the experimental data, we quantify the topological charge of hedgehogs and anti-hedgehogs as emergent magnetic monopoles and probe their interactions inside the frustrated superlattice. We also directly observe virtual hedgehogs and anti-hedgehogs created by magnetically inert voids. We expect that this new quantitative imaging method will open the door to study 3D topological spin textures in a broad class of magnetic materials. Our work also demonstrates that magnetically frustrated superlattices could be used as a new platform to investigate hedgehog interactions and dynamics and to exploit optimized geometries for information storage and transport applications. ArXiv preprint of this work: arXiv:2104.12933.

*This work was primarily supported by STROBE: a National Science Foundation (NSF) Science and Technology Center under award DMR1548924.

Publication: arXiv:2104.12933

Presenters

  • Chen-Ting Liao

    • JILA, University of Colorado Boulder

Authors

  • Chen-Ting Liao

    • JILA, University of Colorado Boulder
  • Arjun Rana

    • University of California, Los Angeles
    • UCLA
  • Ezio Iacocca

    • Northumbria University
  • Ji Zou

    • University of California, Los Angeles
    • Univ of California - Los Angeles
  • Minh Pham

    • University of California, Los Angeles
  • Xingyuan Lu

    • University of California, Los Angeles
    • UCLA
  • Emma M Cating-Subramanian

    • JILA, University of Colorado Boulder
    • University of Colorado, Boulder
    • University of Colorado Boulder
  • Yuan Hung Lo

    • University of California, Los Angeles
  • Sinéad Ryan

    • JILA, University of Colorado Boulder
  • Andrew Glaid

    • Pennsylvania State University
  • Pratibha Mahale

    • Pennsylvania State University
  • Young-Sang Yu

    • Lawrence Berkeley National Laboratory
    • LBL
  • David A Shapiro

    • Lawrence Berkeley National Laboratory
  • Sadegh Yazdi

    • RASEI, University of Colorado Boulder
  • Tom Mallouk

    • Pennsylvania State University
  • Stanley Osher

    • University of California, Los Angeles
  • Henry C Kapteyn

    • JILA, University of Colorado Boulder
    • JILA
    • University of Colorado, Boulder
  • Vincent H Crespi

    • Pennsylvania State University
  • John Badding

    • Pennsylvania State University
  • Yaroslav Tserkovnyak

    • University of California, Los Angeles
  • John Miao

    • University of California, Los Angeles
    • University of California
  • Margaret M Murnane

    • JILA, University of Colorado Boulder
    • JILA