Visualization of Oxygen Vacancies and Self-doped Ligand Holes in La3Ni2O7-{\delta}

TL;DR

This paper introduces a novel electron ptychography technique to visualize oxygen vacancies and self-doped ligand holes in La3Ni2O7-{ extdelta}, providing insights into its electronic structure and implications for superconductivity.

Contribution

The study develops a new imaging method combining electron ptychography and spectroscopy to directly visualize atomic vacancies and electronic inhomogeneity in nickelate superconductors.

Findings

Oxygen vacancies mainly occupy inner apical sites.

Stoichiometric La3Ni2O7 is in the charge-transfer regime with self-doped holes.

Outer apical oxygen is less relevant to low-energy physics.

Abstract

The recent discovery of superconductivity in La3Ni2O7-{\delta} under high pressure with a transition temperature around 80 K has sparked extensive experimental and theoretical efforts. Several key questions regarding the pairing mechanism remain to be answered, such as the most relevant atomic orbitals and the role of atomic deficiencies. Here, we develop a new energy-filtered multislice electron ptychography technique, assisted with electron energy loss spectroscopy, to address these critical issues. Oxygen vacancies are directly visualized and are found to primarily occupy the inner apical sites, which have been proposed to be crucial to superconductivity. We precisely determine the nanoscale stoichiometry and its correlation to the oxygen K edge spectra, which reveals a significant inhomogeneity in the oxygen content and electronic structure within the sample. The spectroscopic results also unveil that stoichiometric La3Ni2O7 is in the charge-transfer regime, with holes that are self-doped from Ni sites into O sites. The outer apical oxygen is found to be less relevant to the low-energy physics and can be safely disregarded in theoretical models. These observations will assist in further development and understanding of superconducting nickelate materials. Our imaging technique for quantifying atomic deficiencies can also be widely applied in materials science and condensed matter physics.