Bridging charge-orbital ordering and Fermi surface instabilities in half-doped single-layered manganite La_0.5Sr_1.5MnO_4
D. V. Evtushinsky, D. S. Inosov, G. Urbanik, V. B. Zabolotnyy, R., Schuster, P. Sass, T. Haenke, C. Hess, B. Buechner, R. Follath, P. Reutler,, A. Revcolevschi, A. A. Kordyuk, and S. V. Borisenko

TL;DR
This paper demonstrates that in half-doped manganite La_0.5Sr_1.5MnO_4, the Fermi surface geometry influences charge-orbital ordering, suggesting an itinerant electron perspective for COO, traditionally viewed as a local phenomenon.
Contribution
It reveals a direct link between Fermi surface nesting and charge-orbital ordering, bridging the gap between itinerant and local models in manganites.
Findings
Fermi surface susceptibility shows a nesting peak at the COO wavevector.
Charge-orbital ordering is driven by Fermi surface geometry.
Itinerant approach applies to COO in this material.
Abstract
Density waves are inherent to the phase diagrams of materials that exhibit unusual, and sometimes extraordinarily useful properties, such as superconductivity and colossal magnetoresistance. While the pure charge density waves (CDW) are well described by an itinerant approach, where electrons are treated as waves propagating through the crystal, the charge-orbital ordering (COO) is usually explained by a local approach, where the electrons are treated as localized on the atomic sites. Here we show that in the half-doped manganite La0.5Sr1.5MnO4 (LSMO) the electronic susceptibility, calculated from the angle-resolved photoemission spectra (ARPES), exhibits a prominent nesting-driven peak at one quarter of the Brillouin zone diagonal, that is equal to the reciprocal lattice vector of the charge-orbital pattern. Our results demonstrate that the Fermi surface geometry determines the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
