Charting the Landscape of Bardeen-Cooper-Schrieffer Superconductors in Experimentally Known Compounds

Bercx, Marnik;Poncรฉ, Samuel;Zhang, Yiming;Trezza, Giovanni;Marzari, Nicola;et.al.
(2025) PRX Energy โ€” Vol. 4, nยฐ 3, p. 33012 (2025)

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  • Bercx, Marnikorcid-logoPSI Center for Scientific Computing, Theory, and Data, and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), 5232 Villigen PSI, Switzerland
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  • Zhang, Yimingorcid-logoUCLouvain
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  • Trezza, Giovanniorcid-logoDepartment of Energy, Politecnico di Torino, 10129 Torino TO, Italy
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  • Marzari, Nicolaorcid-logoTheory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), ร‰cole Polytechnique Fรฉdรฉrale de Lausanne (EPFL), 1015 Lausanne, Switzerland
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Abstract
We perform a high-throughput computational search for novel phonon-mediated superconductors, starting from the Materials Cloud three-dimensional structure database of experimentally known inorganic stoichiometric compounds. We first compute the Allen-Dynes critical temperature (๐‘‡AD๐‘) for 4533 nonmagnetic metals using a direct and progressively finer sampling of the electron-phonon couplings. For the candidates with the largest ๐‘‡AD ๐‘ value, we use automated Wannierizations and electron-phonon interpolations to obtain a high-quality data set for the most promising 250 dynamically stable structures, for which we calculate spectral functions, superconducting band gaps, and isotropic Migdal-Eliashberg critical temperatures. For 140 of these, we also provide anisotropic Migdal-Eliashberg superconducting gaps and critical temperatures. The approach is remarkably successful in finding known superconductors and we find 24 unknown ones with a predicted anisotropic ๐‘‡๐‘ value above 10โ€‰K. Among them, we identify a possible double-gap superconductor (๐‘-doped BaโขB2), a nonmagnetic half-Heusler ZrโขRuโขSb, and the perovskite TaโขRu3C, all exhibiting significant ๐‘‡๐‘ values. Finally, we introduce a sensitivity analysis to estimate the robustness of the predictions.
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Citations

Bercx, M., Poncรฉ, S., Zhang, Y., Trezza, G., Ghezeljehmeidan, A. G., Bastonero, L., Qiao, J., von Rohr, F. O., Pizzi, G., Chiavazzo, E., & Marzari, N. (2025). Charting the Landscape of Bardeen-Cooper-Schrieffer Superconductors in Experimentally Known Compounds. PRX Energy, 4(3), 33012. https://doi.org/10.1103/sb28-fjc9 (Original work published 2025)