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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/

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)