4.8 Article

Domain Wall Patterning and Giant Response Functions in Ferrimagnetic Spinels

期刊

ADVANCED SCIENCE
卷 8, 期 23, 页码 -

出版社

WILEY
DOI: 10.1002/advs.202101402

关键词

domain walls; magnetodielectrics; magnetoelastics; magnetostructural transitions; small-angle neutron scattering

资金

  1. National Science Foundation [DMR-1455264-CAR]
  2. U.S. Department of Energy, Office of Basic Energy Sciences, Scientific User Facilities Division
  3. U.S. National Science Foundation [DMR-1157490]
  4. U.S. D.O.E
  5. State of Florida
  6. U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists, Office of Science Graduate Student Research (SCGSR) program
  7. ORAU [DE-SC0014664]

向作者/读者索取更多资源

This research reveals stripe-like magnetization patterns in mechanically strained samples of Mn3O4 and MnV2O4, which can be controlled via applied magnetic field and mechanical stress. These magnetic phenomena are directly related to the magnetoelastic and magnetodielectric response functions of the materials.
The manipulation of mesoscale domain wall phenomena has emerged as a powerful strategy for designing ferroelectric responses in functional devices, but its full potential is not yet realized in the field of magnetism. This work shows a direct connection between magnetic response functions in mechanically strained samples of Mn3O4 and MnV2O4 and stripe-like patternings of the bulk magnetization which appear below known magnetostructural transitions. Building off previous magnetic force microscopy data, a small-angle neutron scattering is used to show that these patterns represent distinctive magnetic phenomena which extend throughout the bulk of two separate materials, and further are controllable via applied magnetic field and mechanical stress. These results are unambiguously connected to the anomalously large magnetoelastic and magnetodielectric response functions reported for these materials, by performing susceptibility measurements on the same crystals and directly correlating local and macroscopic data.

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