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Scale-free structural organization of oxygen interstitials in La2CuO4+y.

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Title: Scale-free structural organization of oxygen interstitials in La2CuO4+y.
Authors: Fratini, Michela, Poccia, Nicola, Ricci, Alessandro, Campi, Gaetano, Burghammer, Manfred, Aeppli, Gabriel, Bianconi, Antonio
Source: Nature. 8/12/2010, Vol. 466 Issue 7308, p841-844. 4p. 1 Diagram, 2 Graphs.
Subjects: Oxygen, Extracellular matrix, Metallic oxides, Copper oxide superconductors, Fractals, Transition metals
Abstract: It is well known that the microstructures of the transition-metal oxides, including the high-transition-temperature (high-Tc) copper oxide superconductors, are complex. This is particularly so when there are oxygen interstitials or vacancies, which influence the bulk properties. For example, the oxygen interstitials in the spacer layers separating the superconducting CuO2 planes undergo ordering phenomena in Sr2O1+yCuO2 (ref. 9), YBa2Cu3O6+y (ref. 10) and La2CuO4+y (refs 11–15) that induce enhancements in the transition temperatures with no changes in hole concentrations. It is also known that complex systems often have a scale-invariant structural organization, but hitherto none had been found in high-Tc materials. Here we report that the ordering of oxygen interstitials in the La2O2+y spacer layers of La2CuO4+y high-Tc superconductors is characterized by a fractal distribution up to a maximum limiting size of 400 ?m. Intriguingly, these fractal distributions of dopants seem to enhance superconductivity at high temperature. [ABSTRACT FROM AUTHOR]
Copyright of Nature is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Scale-free structural organization of oxygen interstitials in La<subscript>2</subscript>CuO<subscript>4+y</subscript>.
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  Data: <searchLink fieldCode="DE" term="%22Oxygen%22">Oxygen</searchLink><br /><searchLink fieldCode="DE" term="%22Extracellular+matrix%22">Extracellular matrix</searchLink><br /><searchLink fieldCode="DE" term="%22Metallic+oxides%22">Metallic oxides</searchLink><br /><searchLink fieldCode="DE" term="%22Copper+oxide+superconductors%22">Copper oxide superconductors</searchLink><br /><searchLink fieldCode="DE" term="%22Fractals%22">Fractals</searchLink><br /><searchLink fieldCode="DE" term="%22Transition+metals%22">Transition metals</searchLink>
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  Data: It is well known that the microstructures of the transition-metal oxides, including the high-transition-temperature (high-Tc) copper oxide superconductors, are complex. This is particularly so when there are oxygen interstitials or vacancies, which influence the bulk properties. For example, the oxygen interstitials in the spacer layers separating the superconducting CuO2 planes undergo ordering phenomena in Sr2O1+yCuO2 (ref. 9), YBa2Cu3O6+y (ref. 10) and La2CuO4+y (refs 11–15) that induce enhancements in the transition temperatures with no changes in hole concentrations. It is also known that complex systems often have a scale-invariant structural organization, but hitherto none had been found in high-Tc materials. Here we report that the ordering of oxygen interstitials in the La2O2+y spacer layers of La2CuO4+y high-Tc superconductors is characterized by a fractal distribution up to a maximum limiting size of 400 ?m. Intriguingly, these fractal distributions of dopants seem to enhance superconductivity at high temperature. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nature is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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