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

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 (<a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:msubsup><a:mi>T</a:mi><a:mi>c</a:mi><a:mi>AD</a:mi></a:msubsup></a:math>) for <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:mn>4533</c:mn></c:math> nonmagnetic metals using a direct and progressively finer sampling of the electron-phonon couplings. For the candidates with the largest <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"><e:msubsup><e:mi>T</e:mi><e:mi>c</e:mi><e:mi>AD</e:mi></e:msubsup></e:math> value, we use automated Wannierizations and electron-phonon interpolations to obtain a high-quality data set for the most promising <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" display="inline"><g:mn>250</g:mn></g:math> dynamically stable structures, for which we calculate spectral functions, superconducting band gaps, and isotropic Migdal-Eliashberg critical temperatures. For <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline"><i:mn>140</i:mn></i:math> 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 <k:math xmlns:k="http://www.w3.org/1998/Math/MathML" display="inline"><k:mn>24</k:mn></k:math> unknown ones with a predicted anisotropic <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline"><m:msub><m:mi>T</m:mi><m:mi>c</m:mi></m:msub></m:math> value above 10 K. Among them, we identify a possible double-gap superconductor (<o:math xmlns:o="http://www.w3.org/1998/Math/MathML" display="inline"><o:mi>p</o:mi></o:math>-doped <q:math xmlns:q="http://www.w3.org/1998/Math/MathML" display="inline"><q:mrow><q:mi>Ba</q:mi><q:mi mathvariant="normal">B</q:mi></q:mrow></q:math><t:math xmlns:t="http://www.w3.org/1998/Math/MathML" display="inline"><t:msub><t:mi/><t:mn>2</t:mn></t:msub></t:math>), a nonmagnetic half-Heusler <v:math xmlns:v="http://www.w3.org/1998/Math/MathML" display="inline"><v:mrow><v:mi>Zr</v:mi><v:mi>Ru</v:mi><v:mi>Sb</v:mi></v:mrow></v:math>, and the perovskite <x:math xmlns:x="http://www.w3.org/1998/Math/MathML" display="inline"><x:mrow><x:mi>Ta</x:mi><x:mi>Ru</x:mi></x:mrow></x:math><z:math xmlns:z="http://www.w3.org/1998/Math/MathML" display="inline"><z:msub><z:mi/><z:mn>3</z:mn></z:msub></z:math><bb:math xmlns:bb="http://www.w3.org/1998/Math/MathML" display="inline"><bb:mrow><bb:mrow><bb:mi mathvariant="normal">C</bb:mi></bb:mrow></bb:mrow></bb:math>, all exhibiting significant <eb:math xmlns:eb="http://www.w3.org/1998/Math/MathML" display="inline"><eb:msub><eb:mi>T</eb:mi><eb:mi>c</eb:mi></eb:msub></eb:math> values. Finally, we introduce a sensitivity analysis to estimate the robustness of the predictions.

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Journal
PRX Energy
Published
2025-08-29
DOI
https://doi.org/10.1103/sb28-fjc9
Citations
4
Primary Topic
Iron-based superconductors research
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article
Field-Weighted Citation Impact
1.71

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article

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

Nicola Marzari, Giovanni Trezza, Lorenzo Bastonero, Giovanni Pizzi et al.
4 citations
PRX Energy
Iron-based superconductors research
1.71
article

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

Nicola Marzari, Giovanni Trezza, Lorenzo Bastonero, Giovanni Pizzi, Yiming Zhang, Marnik Bercx, Junfeng Qiao, Fabian O. von Rohr, Samuel Poncé, Eliodoro Chiavazzo, Amir Ghorbani Ghezeljehmeidan
article en
4 citations

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 (<a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:msubsup><a:mi>T</a:mi><a:mi>c</a:mi><a:mi>AD</a:mi></a:msubsup></a:math>) for <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:mn>4533</c:mn></c:math> nonmagnetic metals using a direct and progressively finer sampling of the electron-phonon couplings. For the candidates with the largest <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"><e:msubsup><e:mi>T</e:mi><e:mi>c</e:mi><e:mi>AD</e:mi></e:msubsup></e:math> value, we use automated Wannierizations and electron-phonon interpolations to obtain a high-quality data set for the most promising <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" display="inline"><g:mn>250</g:mn></g:math> dynamically stable structures, for which we calculate spectral functions, superconducting band gaps, and isotropic Migdal-Eliashberg critical temperatures. For <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline"><i:mn>140</i:mn></i:math> 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 <k:math xmlns:k="http://www.w3.org/1998/Math/MathML" display="inline"><k:mn>24</k:mn></k:math> unknown ones with a predicted anisotropic <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline"><m:msub><m:mi>T</m:mi><m:mi>c</m:mi></m:msub></m:math> value above 10 K. Among them, we identify a possible double-gap superconductor (<o:math xmlns:o="http://www.w3.org/1998/Math/MathML" display="inline"><o:mi>p</o:mi></o:math>-doped <q:math xmlns:q="http://www.w3.org/1998/Math/MathML" display="inline"><q:mrow><q:mi>Ba</q:mi><q:mi mathvariant="normal">B</q:mi></q:mrow></q:math><t:math xmlns:t="http://www.w3.org/1998/Math/MathML" display="inline"><t:msub><t:mi/><t:mn>2</t:mn></t:msub></t:math>), a nonmagnetic half-Heusler <v:math xmlns:v="http://www.w3.org/1998/Math/MathML" display="inline"><v:mrow><v:mi>Zr</v:mi><v:mi>Ru</v:mi><v:mi>Sb</v:mi></v:mrow></v:math>, and the perovskite <x:math xmlns:x="http://www.w3.org/1998/Math/MathML" display="inline"><x:mrow><x:mi>Ta</x:mi><x:mi>Ru</x:mi></x:mrow></x:math><z:math xmlns:z="http://www.w3.org/1998/Math/MathML" display="inline"><z:msub><z:mi/><z:mn>3</z:mn></z:msub></z:math><bb:math xmlns:bb="http://www.w3.org/1998/Math/MathML" display="inline"><bb:mrow><bb:mrow><bb:mi mathvariant="normal">C</bb:mi></bb:mrow></bb:mrow></bb:math>, all exhibiting significant <eb:math xmlns:eb="http://www.w3.org/1998/Math/MathML" display="inline"><eb:msub><eb:mi>T</eb:mi><eb:mi>c</eb:mi></eb:msub></eb:math> values. Finally, we introduce a sensitivity analysis to estimate the robustness of the predictions.

PRX EnergyVol. 4(3)
University of Geneva (CH), Politecnico di Torino (IT), University of Bremen (DE), Paul Scherrer Institute (CH), Drug Discovery Laboratory (Norway) (NO), Walloon Excellence in Lifesciences and Biotechnology (BE), École Polytechnique Fédérale de Lausanne (CH), UCLouvain (BE), Delft University of Technology (NL)
National Science Foundation, Deutsche Forschungsgemeinschaft, École Polytechnique Fédérale de Lausanne, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Partnership for Advanced Computing in Europe AISBL, Fonds De La Recherche Scientifique - FNRS, Barcelona Supercomputing Center, Universität Bremen, Centro Svizzero di Calcolo Scientifico, National Supercomputing Centre Singapore, Staatssekretariat für Bildung, Forschung und Innovation, National Center of Competence in Research Materials’ Revolution: Computational Design and Discovery of Novel Materials
Openalex Percentile: Top 15%
Iron-based superconductors research
1.71
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