Superconductivity in K-doped <i>p</i>-sexiphenyl

ORAL

Abstract

Organic compounds with π-electron network present great potential to be high temperature superconductors. Here we report the finding of superconductivity at a critical temperature of 7.4 K in para-sexiphenyl with the intercalation of potassium. By removing strong ferromagnetic background, the Messiner effect can be clrealy observed from the M-H plots. The obvious bipolaronic character is detected from Raman scattering measurements. Amorphous phase is found in the sample from X-ray diffraction patterns.

Presenters

  • G. Huang

    • Center for High Pressure Science & Technology Advanced Research (HPSTAR)
    • Center for High-Pressure Science & Technology Advanced Research
    • Center for High Pressure Science and Technology Advanced Research

Authors

  • G. Huang

    • Center for High Pressure Science & Technology Advanced Research (HPSTAR)
    • Center for High-Pressure Science & Technology Advanced Research
    • Center for High Pressure Science and Technology Advanced Research
  • Di Peng

    • Center for High-Pressure Science & Technology Advanced Research
    • Center for High Pressure Science and Technology Advanced Research
  • Renshu Wang

    • Center for High Pressure Science & Technology Advanced Research (HPSTAR)
    • Center for High-Pressure Science & Technology Advanced Research
    • Center for High Pressure Science and Technology Advanced Research
    • Center for High Pressure Science & Technology Advanced Research
  • Xiao-Jia Chen

    • Center for High Pressure Science and Technology Advanced Research
    • Center for High Pressure Science & Technology Advanced Research (HPSTAR)
    • Center for High Pressure Science & Technology Advanced Research
    • Center for High-Pressure Science & Technology Advanced Research
  • Hai-Qing Lin

    • Simulation of Physical Systems Division, Beijing Computational Science Research Center
    • Beijing Computational Science Research Center
    • Bejing Computational Science Research Center
  • Guo-Hua Zhong

    • Beijing Computational Science Research Center