Journal article
Inductive crystal field control in layered metal oxides with correlated electrons
APL materials, v 2(7), pp 76110-076110-9
01 Jul 2014
Abstract
We show that the NiO6 crystal field energies can be tailored indirectly via heterovalent A cation ordering in layered (La,A) NiO4 Ruddlesden-Popper (RP) oxides, where A = Sr, Ca, or Ba, using density functional calculations. We leverage as a driving force the electrostatic interactions between charged [LaO](1+) and neutral [AO](0) planes to inductively tune the Ni-O bond distortions, without intentional doping or epitaxial strain, altering the correlated d-orbital energies. We use this strategy to design cation ordered LaCaNiO4 and LaBaNiO4 with distortions favoring enhanced Ni e(g) orbital polarization, and find local electronic structure signatures analogous to those in RP La-cuprates, i.e., parent phases of the high-temperature superconducting oxides. (C) 2014 Author(s).
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Details
- Title
- Inductive crystal field control in layered metal oxides with correlated electrons
- Creators
- P. V. Balachandran - Drexel UniversityA. Cammarata - Drexel UniversityB. B. Nelson-Cheeseman - Argonne National LaboratoryA. Bhattacharya - Argonne National LaboratoryJ. M. Rondinelli - Drexel UniversityArgonne National Lab. (ANL), Argonne, IL (United States)
- Publication Details
- APL materials, v 2(7), pp 76110-076110-9
- Publisher
- American Institute of Physics
- Number of pages
- 9
- Grant note
- N00014-11-1-0664 / ONR; Office of Naval Research N66001-12-1-4224 / DARPA; United States Department of Defense; Defense Advanced Research Projects Agency (DARPA) DE-AC02-06CH11357 / U.S. DOE, Office of Basic Energy Sciences (BES); United States Department of Energy (DOE) DOE-BES Materials Science and Engineering Division; United States Department of Energy (DOE)
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000341174100012
- Scopus ID
- 2-s2.0-84955152273
- Other Identifier
- 991019335512904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Materials Science, Multidisciplinary
- Nanoscience & Nanotechnology
- Physics, Applied