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http://dx.doi.org/10.25673/111305
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DC Field | Value | Language |
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dc.contributor.author | Hoffmann, Noah | - |
dc.contributor.author | Cerqueira, Tiago F.T. | - |
dc.contributor.author | Borlido, Pedro | - |
dc.contributor.author | Sanna, Antonio | - |
dc.contributor.author | Schmidt, Jonathan | - |
dc.contributor.author | Marques, Miguel | - |
dc.date.accessioned | 2023-10-20T11:35:30Z | - |
dc.date.available | 2023-10-20T11:35:30Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://opendata.uni-halle.de//handle/1981185920/113259 | - |
dc.identifier.uri | http://dx.doi.org/10.25673/111305 | - |
dc.description.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 Tc = 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. | eng |
dc.language.iso | eng | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject.ddc | 530 | - |
dc.title | Searching for ductile superconducting Heusler X2YZ compounds | eng |
dc.type | Article | - |
local.versionType | publishedVersion | - |
local.bibliographicCitation.journaltitle | npj computational materials | - |
local.bibliographicCitation.volume | 9 | - |
local.bibliographicCitation.publishername | Nature Publ. Group | - |
local.bibliographicCitation.publisherplace | London | - |
local.bibliographicCitation.doi | 10.1038/s41524-023-01084-7 | - |
local.openaccess | true | - |
dc.identifier.ppn | 1866732617 | - |
cbs.publication.displayform | 2023 | - |
local.bibliographicCitation.year | 2023 | - |
cbs.sru.importDate | 2023-10-20T11:35:01Z | - |
local.bibliographicCitation | Enthalten in npj computational materials - London : Nature Publ. Group, 2015 | - |
local.accessrights.dnb | free | - |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
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s41524-023-01084-7.pdf | 50.84 MB | Adobe PDF | View/Open |