posted on 2016-05-09, 00:00authored byEA Nowadnick, JP Ruf, H Park, PDC King, DG Schlom, KM Shen, AJ Millis
The electronic correlation strength is a basic quantity that characterizes the physical properties of materials
such as transition metal oxides. Determining correlation strengths requires both precise definitions and a careful
comparison between experiment and theory. In this paper, we define the correlation strength via the magnitude
of the electron self-energy near the Fermi level. For the case of LaNiO3, we obtain both the experimental and
theoretical mass enhancements m/m by considering high resolution angle-resolved photoemission spectroscopy
(ARPES) measurements and density functional + dynamical mean field theory (DFT + DMFT) calculations. We
use valence-band photoemission data to constrain the free parameters in the theory and demonstrate a quantitative
agreement between the experiment and theory when both the realistic crystal structure and strong electronic
correlations are taken into account. In addition, by considering DFT + DMFT calculations on epitaxially strained
LaNiO3, we find a strain-induced evolution of m/m in qualitative agreement with trends derived from optics
experiments. These results provide a benchmark for the accuracy of the DFT + DMFT theoretical approach, and
can serve as a test case when considering other complex materials. By establishing the level of accuracy of the
theory, this work also will enable better quantitative predictions when engineering new emergent properties in nickelate heterostructures.
Funding
This work was supported by the Cornell Center for Materials Research with funding from the NSF MRSEC program (DMR-1120296) and the Office of Naval Research (N00014-12-1-0791). J.P.R. acknowledges support from the NSF IGERT program (DGE-0903653). A.J.M. acknowledges support from the Basic Energy Sciences division of the Department of Energy under Grant ER-046169. H.P. gratefully acknowledges the support of start-up funds from University of Illinois at Chicago and Argonne National Laboratory. Part of the computational work was carried out at computing facilities supported by the Cornell Center for Materials Research.