Cargando…

Domain Wall Patterning and Giant Response Functions in Ferrimagnetic Spinels

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 mechani...

Descripción completa

Detalles Bibliográficos
Autores principales: Kish, Lazar L., Thaler, Alex, Lee, Minseong, Zakrzewski, Alexander V., Reig‐i‐Plessis, Dalmau, Wolin, Brian A., Wang, Xu, Littrell, Kenneth C., Budakian, Raffi, Zhou, Haidong, Gai, Zheng, Frontzek, Matthias D., Zapf, Vivien S., Aczel, Adam A., DeBeer‐Schmitt, Lisa, MacDougall, Gregory J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655211/
https://www.ncbi.nlm.nih.gov/pubmed/34719881
http://dx.doi.org/10.1002/advs.202101402
Descripción
Sumario: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 Mn(3)O(4) and MnV(2)O(4) 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.