{"id":"doi:10.1038/s41524-023-01084-7","kind":"article","title":"Searching for ductile superconducting Heusler X2YZ compounds","authors":["Noah Hoffmann","Tiago F. T. Cerqueira","Pedro Borlido","Antonio Sanna","Jonathan Schmidt","Miguel A. L. Marques"],"author_count":6,"year":2023,"published":"2023-08-09","venue":"npj Computational Materials","cited_by":20,"doi":"10.1038/s41524-023-01084-7","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1038/s41524-023-01084-7","archive_url":"https://space-kitty.com/papers/doi:10.1038/s41524-023-01084-7","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4385708114","pdf_url":"https://www.nature.com/articles/s41524-023-01084-7.pdf","abstract":"Abstract Heusler compounds attract a great deal of attention from researchers thanks to a wealth of interesting properties, among which is superconductivity. Here we perform an extensive study of the superconducting and elastic properties of the cubic (full-)Heusler family using a mixture of ab initio methods, as well as interpretable and predictive machine-learning models. By analyzing the statistical distributions of these properties and comparing them to anti-perovskites, we recognize universal behaviors that should be common to all conventional superconductors while others turn out to be specific to the material family. In total, we discover a total of eight hypothetical materials with critical temperatures above 10 K to be compared with the current record of T c = 4.7 K in this family. Furthermore, we expect most of these materials to be highly ductile, making them potential candidates for the manufacture of wires and tapes for superconducting magnets.","abstract_license":"CC-BY (publisher license, via OpenAlex)","license":"cc-by","is_open_access":true,"peer_reviewed":null,"categories":["Heusler alloys: electronic and magnetic properties"],"details":null,"provenance":"openalex","attribution":"Abstract of \"Searching for ductile superconducting Heusler X2YZ compounds\" by Noah Hoffmann, Tiago F. T. Cerqueira, Pedro Borlido et al., https://doi.org/10.1038/s41524-023-01084-7, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.","topics":[{"slug":"superconductor-discovery","name":"Computational & AI-Driven Superconductor Discovery","domain_slug":"superconductivity"}],"cited_in_dossiers":[]}