Optimum inhomogeneity of local lattice distortions in La2CuO4+y

TL;DR

This study reveals that in La2CuO4+y, optimal superconductivity correlates with inhomogeneous defect networks, including oxygen interstitials and local lattice distortions, which form fractal patterns enhancing Tc.

Contribution

It uncovers the coexistence of two defect networks—oxygen interstitials and lattice distortions—and their fractal arrangements as key to high Tc in cuprates.

Findings

Inhomogeneous defect networks correlate with higher Tc.

Fractal defect patterns optimize superconducting transition temperature.

Incommensurate lattice distortions form droplets anticorrelated with oxygen interstitials.

Abstract

Electronic functionalities in materials from silicon to transition metal oxides are to a large extent controlled by defects and their relative arrangement. Outstanding examples are the oxides of copper, where defect order is correlated with their high superconducting transition temperatures. The oxygen defect order can be highly inhomogeneous, even in "optimal" superconducting samples, which raises the question of the nature of the sample regions where the order does not exist but which nonetheless form the "glue" binding the ordered regions together. Here we use scanning X-ray microdiffraction (with beam 300 nm in diameter) to show that for La2CuO4+y, the "glue" regions contain incommensurate modulated local lattice distortions, whose spatial extent is most pronounced for the best superconducting samples. For an underdoped single crystal with mobile oxygen interstitials in the spacer La2O2+y layers intercalated between the CuO2 layers, the incommensurate modulated local lattice distortions form droplets anticorrelated with the ordered oxygen interstitials, and whose spatial extent is most pronounced for the best superconducting samples. In this simplest of high temperature superconductors, there are therefore not one, but two networks of ordered defects which can be tuned to achieve optimal superconductivity. For a given stoichiometry, the highest transition temperature is obtained when both the ordered oxygen and lattice defects form fractal patterns, as opposed to appearing in isolated spots. We speculate that the relationship between material complexity and superconducting transition temperature Tc is actually underpinned by a fundamental relation between Tc and the distribution of ordered defect networks supported by the materials.