DOI > 10.5291/ILL-DATA.5-31-2748

Please note

The full details of this dataset is not yet available to the public as it still under its embargo period. As such there are only a few details publically exposed. To find out more about how the ILL governs the release of data, please go here. Thank you for your understanding.

Title

Self Organisation of Mixed Superconducting States under the Application of a Current

Abstract

The intermediate mixed state (IMS) in a superconductor is found between complete magnetic flux expulsion (Meissner state) and the penetration of an array of supercurrent vortices (mixed state). In Niobium we find, due to a rare attractive interaction between vortices, a coincidence of these two phases separated on the micron scale. Bitter decoration of pure Nb samples shows both laminar and tubular structure of the IMS as also seen in the equivalent intermediate state of type-I superconductors. An applied current was shown to transform between these intermediate state patterns in a type-I superconductor. We want to study the self organisation of mixed superconducting states under the application of a current in the type-II superconductor Nb. In the EASY-568 beamtime on D33 we were for the first time able to investigate the IMS in a sample in the state of flux-flow. In this continuation study we want to increase the resolution in the low-q regime of the anisotropic scattering around the masked direct beam due to the reorganization of the IMS under the influence of the current.

Experimental Report

Download Data

The data is currently only available to download if you are a member of the proposal team.

Download Data

Data Citation

The recommended format for citing this dataset in a research publication is in the following format:

BREMS Xaver; CUBITT Robert; MUEHLBAUER Sebastian and OJI UGWUMSINACHI. (2020). Self Organisation of Mixed Superconducting States under the Application of a Current. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.5-31-2748

Cited by

This data has not been cited by any articles.

Metadata

Experiment Parameters

This data is not yet public

Sample Parameters

This data is not yet public