Bulletin of the American Physical Society
APS March Meeting 2023
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session Y22: Superconductivity:Nikelates & others
8:00 AM–11:00 AM,
Friday, March 10, 2023
Room: Room 214
Sponsoring
Unit:
DCMP
Chair: Hongyi Xie, University of Oklahoma
Abstract: Y22.00001 : Charge ordering as the driving mechanism for superconductivity in rare-earth nickel oxides*
8:00 AM–8:12 AM
Presenter:
Julien Varignon
(CRISMAT ENSICAEN)
Authors:
Julien Varignon
(CRISMAT ENSICAEN)
Manuel Bibes
(CNRS/THALES)
Wilfrid Prellier
(CRISMAT Lab)
Sébastien Petit
(CRISMAT, ENSICAEN, Normandie Université, UNICAEN, CNRS, 14000 Caen, FRANCE)
Lucia Iglesias
(Unité Mixte de Physique, CNRS, Thales, Université Paris Saclay, 91767 Palaiseau, France)
Alvaro Adrian Carrasco Alvarez
(CRISMAT, ENSICAEN, Normandie Université, UNICAEN, CNRS, 14000 Caen, FRANCE)
Collaborations:
CRISMAT, ENSICAEN, Normandie Université, UNICAEN, CNRS, 14000 Caen, FRANCE, Unité Mixte de Physique, CNRS, Thales, Université Paris Saclay, 91767 Palaiseau, FRANCE
Here we use Density Functional Theory (DFT) simulations to show that superconductivity in nickelates is driven by an electron-phonon coupling originating from a charge ordered state. Due to an intrinsic electronic instability in half-doped compounds, Ni1.5+ cations dismutate into more stable Ni1+ and Ni2+ cations, which is accompanied by bond disproportionation producing a checkerboard of NiO4 complexes. Once doping suppresses bond disproportionation, its vibration helps forming Cooper pairs with a Tc=7-14 K. Despite the presence of correlation effects inherent to 3d elements, nickelates superconductors appear similar to non-magnetic bismuth oxide superconductors. Our results further suggest that undoped materials are not necessarily a proper starting point for understanding superconductivity and the search for instabilities in the doped phase diagram thus appears crucial. Finally, all these phenomena can be identified if relevant degrees of freedom as well as an exchange correlation functional that sufficiently amends self-interaction errors inherent to practiced DFT are involved in the simulations.
*This work received financial support from the CNRS through the MITI project SuNi and through the ANR SUPERNICKEL. Authors acknowledge access granted to HPC resources of Criann through the projects 2020005 and 2007013 and of Cines through the DARI project A0080911453. L. I. acknowledges funding from the Ile de France region and the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant Nº21004513 (DOPNICKS project).
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