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Extreme sensitivity of superconductivity to stoichiometry inFe1+δSe

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McQueen, T. M., Huang, Q., Ksenofontov, V., Felser, C., Xu, Q., Zandbergen, H., Hor, Y. S., Allred, J., Williams, A. J., Qu, D., Checkelsky, J., Ong, N. P., Cava, R. J.·2009·Physical Review B

Abstract

The recently discovered iron arsenide superconductors appear to display a universal set of characteristic features, including proximity to a magnetically ordered state and robustness of the superconductivity in the presence of disorder. Here we show that superconductivity in ${\text{Fe}}_{1+\ensuremath{\delta}}\text{Se}$, which can be considered the parent compound of the superconducting arsenide family, is destroyed by very small changes in stoichiometry. Further, we show that nonsuperconducting ${\text{Fe}}_{1+\ensuremath{\delta}}\text{Se}$ is not magnetically ordered down to 5 K. These results suggest that robust superconductivity and immediate instability against an ordered magnetic state should not be considered as intrinsic characteristics of iron-based superconducting systems.

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Metadata

Authors
McQueen, T. M., Huang, Q., Ksenofontov, V., Felser, C., Xu, Q., Zandbergen, H., Hor, Y. S., Allred, J., Williams, A. J., Qu, D., Checkelsky, J., Ong, N. P., & Cava, R. J.
Venue
Physical Review B
Published
2009-01-29
Volume
79
Issue
1
ISSN
  • 1098-0121 (ISSN-L)
  • 1550-235X
OpenAlex
W2171303374
Cited by
653
References
0
FWCI
30.04
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Extreme sensitivity of superconductivity to stoichiometry inFe1+δSe. https://app.cochat.ai/papers/10.1103/physrevb.79.014522
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McQueen, T. M., Huang, Q., Ksenofontov, V., Felser, C., Xu, Q., Zandbergen, H., Hor, Y. S., Allred, J., Williams, A. J., Qu, D., Checkelsky, J., Ong, N. P., & Cava, R. J. (2009). Extreme sensitivity of superconductivity to stoichiometry inFe1+δSe. Physical Review B. https://doi.org/10.1103/physrevb.79.014522

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.