Charting the landscape of Bardeen-Cooper-Schrieffer superconductors in experimentally known compounds

ORAL

Abstract

We have combined recent developments in automated Wannierization with the AiiDA computational infrastructure [1] to enable a high-throughput search for novel superconductors, exploring the Materials Cloud 3-dimensional structure database (MC3D) [2] of experimentally known inorganics. Starting from all the 4550 non-magnetic metals with 12 atoms or less in the unit cell, we progressively refined the calculations of the critical temperature, deploying automated workflows for the EPW (electron-phonon Wannier) code [3], leading to a high-quality dataset of over 250 dynamically stable structures for which we obtain spectral functions and isotropic/anisotropic Migdal-Eliashberg critical temperatures. We discuss the main candidates of interest and some novel techniques for gauging the robustness of the predictions when compared with experiments.

[1] https://aiida.net/

[2] https://mc3d.materialscloud.org/

[3] https://epw-code.org/

*NCCR MARVEL, funded by the SNSF (grant number 205602)CSCS on the Swiss share of the LUMI system (project ID 465000106)

Publication: Marnik Bercx, Samuel Poncé, Yiming Zhang, Giovanni Trezza, Amir Ghorbani Ghezeljehmeidan, Lorenzo Bastonero, Junfeng Qiao, Fabian von Rohr, Eliodoro Chiavazzo, Giovanni Pizzi and Nicola Marzari, Charting the landscape of Bardeen-Cooper-Schrieffer superconductors in experimentally known compounds, in preparation.

Presenters

  • Marnik Bercx

    • Paul Scherrer Institute
    • École Polytechnique Fédérale de Lausanne

Authors

  • Marnik Bercx

    • Paul Scherrer Institute
    • École Polytechnique Fédérale de Lausanne
  • Samuel Poncé

    • UCLouvain
  • Yiming Zhang

    • UCLouvain
  • Giovanni Trezza

    • Polytechnico di Torino
  • Amir Ghorbani Ghezeljehmeidan

    • Delft University of Technology
  • Lorenzo Bastonero

    • University of Bremen
  • Junfeng Qiao

    • École Polytechnique Fédérale de Lausanne
    • École Polytechnique Fédérale de Lausanne (EPFL)
  • Fabian O Von Rohr

    • Univ of Zurich
  • Eliodoro Chiavazzo

    • Polytechnico di Torino
  • Giovanni Pizzi

    • Paul Scherrer Institute
    • Paul Scherrer Institut, Materials software and data group
    • Paul Scherrer Institut (PSI)
  • Nicola Marzari

    • Ecole Polytechnique Federale de Lausanne
    • École Polytechnique Fédérale de Lausanne (EPFL)
    • Ecole Polytechnique Federale de Lausanne (EPFL), Paul Scherrer Institut (PSI)