Article ; Online: 3DSC - a dataset of superconductors including crystal structures.
2023 Volume 10, Issue 1, Page(s) 816
Abstract: Data-driven methods, in particular machine learning, can help to speed up the discovery of new materials by finding hidden patterns in existing data and using them to identify promising candidate materials. In the case of superconductors, the use of data ...
Abstract | Data-driven methods, in particular machine learning, can help to speed up the discovery of new materials by finding hidden patterns in existing data and using them to identify promising candidate materials. In the case of superconductors, the use of data science tools is to date slowed down by a lack of accessible data. In this work, we present a new and publicly available superconductivity dataset ('3DSC'), featuring the critical temperature T |
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Language | English |
Publishing date | 2023-11-21 |
Publishing country | England |
Document type | Dataset ; Journal Article |
ZDB-ID | 2775191-0 |
ISSN | 2052-4463 ; 2052-4463 |
ISSN (online) | 2052-4463 |
ISSN | 2052-4463 |
DOI | 10.1038/s41597-023-02721-y |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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