| Literature DB >> 33975955 |
Kun Xu1,2, Luo Zhang3, Andy Godfrey1, Dongsheng Song1, Wenlong Si1, Yawen Zhao3, Yi Liu3, Yiheng Rao4, Huaiwu Zhang4, Heng-An Zhou5, Wanjun Jiang5, Wenbin Wang6, Zhiying Cheng1, Jing Zhu7,2.
Abstract
Bismuth and rare earth elements have been identified as effective substituent elements in the iron garnet structure, allowing an enhancement in magneto-optical response by several orders of magnitude in the visible and near-infrared region. Various mechanisms have been proposed to account for such enhancement, but testing of these ideas is hampered by a lack of suitable experimental data, where information is required not only regarding the lattice sites where substituent atoms are located but also how these atoms affect various order parameters. Here, we show for a Bi-substituted lutetium iron garnet how a suite of advanced electron microscopy techniques, combined with theoretical calculations, can be used to determine the interactions between a range of quantum-order parameters, including lattice, charge, spin, orbital, and crystal field splitting energy. In particular, we determine how the Bi distribution results in lattice distortions that are coupled with changes in electronic structure at certain lattice sites. These results reveal that these lattice distortions result in a decrease in the crystal-field splitting energies at Fe sites and in a lifted orbital degeneracy at octahedral sites, while the antiferromagnetic spin order remains preserved, thereby contributing to enhanced magneto-optical response in bismuth-substituted iron garnet. The combination of subangstrom imaging techniques and atomic-scale spectroscopy opens up possibilities for revealing insights into hidden coupling effects between multiple quantum-order parameters, thereby further guiding research and development for a wide range of complex functional materials.Entities:
Keywords: bismuth substituent; crystal field splitting; electron energy loss spectrum; iron garnet; scanning transmission electron microscopy
Year: 2021 PMID: 33975955 PMCID: PMC8157958 DOI: 10.1073/pnas.2101106118
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205