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Quantum criticality in electron-doped BaFe2−xNixAs2

Author

Listed:
  • R. Zhou

    (Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences)

  • Z. Li

    (Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences)

  • J. Yang

    (Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences)

  • D. L. Sun

    (Max Planck Institute-Heisenbergstrasse 1)

  • C. T. Lin

    (Max Planck Institute-Heisenbergstrasse 1)

  • Guo-qing Zheng

    (Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences
    Okayama University)

Abstract

A quantum critical point is a point in a system’s phase diagram at which an order is completely suppressed at absolute zero temperature (T). The presence of a quantum critical point manifests itself in the finite-T physical properties, and often gives rise to new states of matter. Superconductivity in the cuprates and in heavy fermion materials is believed by many to be mediated by fluctuations associated with a quantum critical point. In the recently discovered iron–pnictide superconductors, we report transport and NMR measurements on BaFe2−xNixAs2 (0≤x≤0.17). We find two critical points at xc1=0.10 and xc2=0.14. The electrical resistivity follows ρ=ρ0+ATn, with n=1 around xc1 and another minimal n=1.1 at xc2. By NMR measurements, we identity xc1 to be a magnetic quantum critical point and suggest that xc2 is a new type of quantum critical point associated with a nematic structural phase transition. Our results suggest that the superconductivity in carrier-doped pnictides is closely linked to the quantum criticality.

Suggested Citation

  • R. Zhou & Z. Li & J. Yang & D. L. Sun & C. T. Lin & Guo-qing Zheng, 2013. "Quantum criticality in electron-doped BaFe2−xNixAs2," Nature Communications, Nature, vol. 4(1), pages 1-7, October.
    • Handle: RePEc:nat:natcom:v:4:y:2013:i:1:d:10.1038_ncomms3265
    DOI: 10.1038/ncomms3265
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    Cited by:

    1. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

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